{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Sarvam AI analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/sarvam","json_url":"https://onlylabs.fyi/analysis/sarvam/evidence.json","generated_at":"2026-06-11T18:07:28.352Z","org":{"slug":"sarvam","name":"Sarvam AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/sarvam"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":106,"web":0,"evidence":88,"signal_desks":{"hiring":41,"forks":12,"releases":7,"talking":0,"repos":0},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Applied AI Engineer, Sarvam Agents","date":"2026-06-11T07:04:05.147817+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/30259734-50c3-4f1c-81cd-8bff07e585e7","signal_url":null,"signal_json_url":null,"text":"# Applied AI Engineer, Sarvam Agents\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-06-10T17:13:02.712+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nSarvam Agents bring AI into the way teams actually work. They plug into the tools and workflows of an organization (email, docs, calendars, internal systems, the long tail of SaaS), take multi-step action on a user's behalf, run on a schedule when no one is watching, and get better as the team uses them. Shared across the org, scoped by the right permissions, observable by admins. This is what agents look like when they have to actually work.\n\n \n\nWe're hiring an Applied AI Engineer to build these agents and own them in production. You'll design the flows, wire up the tools, ship the harness, and be on the hook when something breaks.\n\nWhat You’ll Do\n\n- Build agents end-to-end: flow design, prompting, tool definitions, memory, evaluation, deployment\n\n- Own agent reliability in production: debugging real failures, designing guardrails, running incident response when things break\n\n- The agent runtime: state management, retries, scheduled triggers, long-running execution that keeps moving when no one is watching\n\n- Connector and integration framework: OAuth, third-party SaaS APIs, the plumbing that lets agents reach into real workplaces\n\n- MCP server infrastructure at scale: the tool layer agents reach for\n\n- Memory and context engineering: knowing when to use working memory vs. long-term memory vs. retrieval, and building the systems that make it work (Honcho and friends)\n\n- Multi-tenancy and sharing: agents that live inside organizations, with the right permissions, audit trails, and admin "},{"ref":"P2","kind":"page","title":"sarvamai/sec-insights repository metadata","date":"2026-06-11T03:23:00.041324+00:00","date_source":null,"source_url":"https://github.com/sarvamai/sec-insights","signal_url":null,"signal_json_url":null,"text":"# sarvamai/sec-insights\n\nDescription: A real world full-stack application using LlamaIndex\n\nLicense: MIT\n\nStars: 1\n\nForks: 2\n\nOpen issues: 0\n\nCreated: 2024-03-05T10:51:47Z\n\nPushed: 2024-02-24T00:04:26Z\n\nDefault branch: main\n\nFork: yes\n\nParent repository: run-llama/sec-insights\n\nArchived: no\n\nREADME:\n# SEC Insights 🏦\n<a href=\"https://www.producthunt.com/posts/sec-insights-ai?utm_source=badge-top-post-badge&utm_medium=badge&utm_souce=badge-sec&#0045;insights&#0045;ai\" target=\"_blank\"><img src=\"https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=410213&theme=light&period=daily\" alt=\"SEC&#0032;Insights&#0032;AI - Revolutionizing&#0032;SEC&#0032;document&#0032;analysis | Product Hunt\" style=\"width: 250px; height: 54px;\" width=\"250\" height=\"54\" /></a>\n\n[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/run-llama/sec-insights)\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nSEC Insights uses the Retrieval Augmented Generation (RAG) capabilities of [LlamaIndex](https://github.com/jerryjliu/llama_index) to answer questions about SEC 10-K & 10-Q documents.\n\nYou can start using the application now at [secinsights.ai](https://www.secinsights.ai/)\n\nYou can also check out our [End-to-End tutorial guide on YouTube](https://youtu.be/2O52Tfj79T4?si=CYUcaBkc9P9g_m0P) for this project! This video covers product features, system architecture, development environment setup, and how to use this application with your own custom documents *(beyond just SEC filings!)*. The video has chapters so you can skip to the section most relevant to you.\n\n## Why did we make this? 🤔\nAs RAG applications look to move increasingly from prototype to production, we thought our developer community would find value in having a complete example of a working real-world RAG application.\n\nSEC Insights works as well locally as it does in the cloud. It also comes with many product features that will be immediately applicable to most RAG applications.\n\nUse this repository as a reference when building out your own RAG application or fork it entirely to start your project off with a"},{"ref":"P3","kind":"page","title":"sarvamai/sarvam-ai-cookbook repository metadata","date":"2026-06-11T03:20:48.560283+00:00","date_source":null,"source_url":"https://github.com/sarvamai/sarvam-ai-cookbook","signal_url":null,"signal_json_url":null,"text":"# sarvamai/sarvam-ai-cookbook\n\nDescription: Open Source Sarvam AI Cookbook\n\nLanguage: Jupyter Notebook\n\nLicense: Apache-2.0\n\nStars: 159\n\nForks: 83\n\nOpen issues: 29\n\nCreated: 2025-01-08T11:05:04Z\n\nPushed: 2026-02-11T08:52:28Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n### Sarvam AI Cookbook\n\nWelcome to the **Sarvam AI Cookbook**! This repository provides example code, guides, and tutorials to help you accomplish common tasks using the **Sarvam AI API**. Whether you're building conversational AI, generating text, or working on other AI-powered applications, these resources will help you get started quickly.\n\n#### Getting Started\n\nTo use the examples in this cookbook, you'll need a **Sarvam API key**. If you don’t have one yet, sign up for a free account [here](https://dashboard.sarvam.ai/). Once you have your API key, set it as an environment variable:\n\n```bash\nexport SARVAM_API_KEY=<your API key>\n```\n\nAlternatively, you can create a `.env` file in the root of your project with the following content:\n\n```plaintext\nSARVAM_API_KEY=<your API key>\n```\n\nMost examples are written in **Python**, but the concepts can be adapted to any programming language.\n\n#### Resources\n\n- [Sarvam AI Documentation](https://docs.sarvam.ai)\n- [Sarvam AI Playground](https://dashboard.sarvam.ai/)\n- [Sarvam AI Discord Group](https://discord.com/invite/8ka56wQaT3)\n- [Sarvam AI Github](https://github.com/sarvamai/)\n- [Sarvam AI Huggingface](https://huggingface.co/sarvamai)\n\nExplore the cookbook, experiment with the examples, and start building amazing AI-powered applications with Sarvam AI!\n\n**Keep Building 🚀**"},{"ref":"P4","kind":"page","title":"sarvamai/model-deployments repository metadata","date":"2026-06-11T03:20:48.522522+00:00","date_source":null,"source_url":"https://github.com/sarvamai/model-deployments","signal_url":null,"signal_json_url":null,"text":"# sarvamai/model-deployments\n\nStars: 0\n\nForks: 0\n\nOpen issues: 1\n\nCreated: 2025-02-03T13:20:08Z\n\nPushed: 2025-02-03T13:20:08Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# model-deployments"},{"ref":"P5","kind":"page","title":"sarvamai/sarvam-voices repository metadata","date":"2026-06-11T03:20:48.390653+00:00","date_source":null,"source_url":"https://github.com/sarvamai/sarvam-voices","signal_url":null,"signal_json_url":null,"text":"# sarvamai/sarvam-voices\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-01-16T07:33:30Z\n\nPushed: 2025-01-16T07:34:09Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME: none published or not readable through the GitHub API."},{"ref":"P6","kind":"page","title":"sarvamai/batch-api-typescript repository metadata","date":"2026-06-11T03:20:48.167409+00:00","date_source":null,"source_url":"https://github.com/sarvamai/batch-api-typescript","signal_url":null,"signal_json_url":null,"text":"# sarvamai/batch-api-typescript\n\nLanguage: TypeScript\n\nStars: 0\n\nForks: 1\n\nOpen issues: 1\n\nCreated: 2025-02-17T13:49:13Z\n\nPushed: 2025-02-19T09:41:23Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Sarvam AI Speech-to-Text Batch Processing\n\nThis TypeScript script allows you to process multiple audio files using Sarvam AI's Speech-to-Text API. It handles file upload, job monitoring, and result download.\n\n## Prerequisites\n\n1. **Node.js (v14 or later)** – Download from [nodejs.org](https://nodejs.org/)\n2. **npm (Node Package Manager)** – Included with Node.js\n3. **A Sarvam AI API key** – Obtain from [dashboard.sarvam.ai](https://dashboard.sarvam.ai)\n4. **Audio files in WAV format**\n\n## Setup\n\n### 1. **Clone and Install Dependencies**\n```bash\ngit clone <repository-url>\ncd batch-api-typescript\nnpm install\n```\n\n### 2. **Install Required Packages**\n```bash\nnpm install axios fs winston @azure/storage-blob mime-types typescript @types/node @types/mime-types @types/winston @azure/storage-file-datalake\n```\n\n### 3. **Initialize TypeScript Configuration**\n```bash\nnpx tsc --init\n```\n\n### 4. **Create Required Directories**\n```bash\nmkdir src\ncd src\nmkdir data\n```\nThe `data` directory stores the downloaded transcription results, and `src` is for TypeScript source files.\n\n### 5. **Create `index.ts` in the `src` Directory**\nCreate a new file named `index.ts` inside the `src` folder and paste your provided script.\n\n## Configuration\n\n### 1. **API Key Setup**\n- Get your API key from [dashboard.sarvam.ai](https://dashboard.sarvam.ai)\n- Replace the `API_SUBSCRIPTION_KEY` value in `index.ts`:\n```typescript\nconst API_SUBSCRIPTION_KEY = 'API_SUBSCRIPTION_KEY';\n```\n\n### 2. **Audio Files**\n- Update the `localFiles` array in `main()` with your audio file paths:\n```typescript\nconst localFiles = [\n'/Users/adityam/Repos/batch-api-typescript/medical_domain_test (1).wav',\n];\n```\n\n## 3. Running the Script\n\n### 1. **Compile TypeScript**\n```bash\nnpx tsc\n```\nThis will generate a `index.js` file.\n\n### 2. **Run the Script**\n```bash\nnode index.js\n```\n\n## Process Flow\n\n1. The script initializes a new job with Sarvam AI\n2. Uploads specified audio files to Azure storage\n3. Starts the transcriptio"},{"ref":"P7","kind":"page","title":"sarvamai/call-analytics-playground repository metadata","date":"2026-06-11T03:20:47.979841+00:00","date_source":null,"source_url":"https://github.com/sarvamai/call-analytics-playground","signal_url":null,"signal_json_url":null,"text":"# sarvamai/call-analytics-playground\n\nLanguage: Python\n\nStars: 0\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2025-03-13T12:02:59Z\n\nPushed: 2025-03-13T13:27:38Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# call-analytics-playground"},{"ref":"P8","kind":"page","title":"sarvamai/sarvam-ai-sdk repository metadata","date":"2026-06-11T03:20:47.831972+00:00","date_source":null,"source_url":"https://github.com/sarvamai/sarvam-ai-sdk","signal_url":null,"signal_json_url":null,"text":"# sarvamai/sarvam-ai-sdk\n\nDescription: @SarvamAI provider support for @Vercel's AI-SDK\n\nLanguage: TypeScript\n\nStars: 9\n\nForks: 5\n\nOpen issues: 3\n\nCreated: 2025-05-31T04:45:32Z\n\nPushed: 2026-04-29T16:10:22Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n<a href=\"https://github.com/rajatsandeepsen/sarvam-ai-sdk\">\n<img alt=\"cover\" src=\"https://github.com/rajatsandeepsen/sarvam-ai-sdk/blob/master/cover.png?raw=true\" />\n</a>\n\n# AI SDK - Sarvam Provider\n\nThe **[Sarvam provider](https://v6.ai-sdk.dev/providers/community-providers/sarvam)** for the [AI SDK](https://v6.ai-sdk.dev/docs)\ncontains language model support for the Sarvam chat completion, Text-to-Speech and Speech-to-Text APIs.\n\n## Setup\n\nThe **[Sarvam](http://sarvam.ai)** provider is available in the `sarvam-ai-sdk` module. You can install it with\n\n```bash\nnpm i sarvam-ai-sdk ai@6\n```\n\n> [!WARNING]\n> This package only works with Vercel AI-SDK v6, not v7. Make sure to install `ai@6` in your project.\n\n### Version Compatibility\n\n| Sarvam AI SDK Version | Vercel AI SDK Version |\n|-----------------------|-----------------------|\n| 0.4.x (beta) | 7.x.x (beta) |\n| 0.3.x (current) | 6.x.x (current) |\n| 0.2.x | 5.x.x |\n| 0.1.x | 4.x.x |\n\n## Provider Instance\n\nYou can import the default provider instance `sarvam` from `sarvam-ai-sdk`:\n\n```ts\nimport { sarvam } from 'sarvam-ai-sdk';\n```\n\nCreate `.env` file with API key from **[Sarvam Dashboard](https://dashboard.sarvam.ai/)**\n```bash\nSARVAM_API_KEY=\"your_api_key\"\n```\n\n## Example\n\n```ts\nimport { sarvam } from 'sarvam-ai-sdk';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\nmodel: sarvam(\"sarvam-30b\"),\nprompt: \"Translate this to malayalam: 'Keep cooking, guys'\",\n});\n\nconsole.log(text); // പാചകം തുടരൂ, സുഹൃത്തുക്കളേ\n```\n\n## Text-to-Speech\n\n```ts\nimport { sarvam } from \"sarvam-ai-sdk\";\nimport { experimental_generateSpeech as generateSpeech } from \"ai\";\nimport { writeFile } from \"fs/promises\";\n\nconst { audio } = await generateSpeech({\nmodel: sarvam.speech(\"bulbul:v3\", \"ml-IN\"),\ntext: \"പാചകം തുടരൂ, സുഹൃത്തുക്കളേ\",\n});\n\nconst audioBuffer = Buffer.from(audio.base64, \"base64\")\nawait writeFile(\"./src/transcript-test.wav\", audioBuffer);\n```\n\n## Sp"},{"ref":"P9","kind":"page","title":"sarvamai/sarvam-streaming-apis repository metadata","date":"2026-06-11T03:20:47.671528+00:00","date_source":null,"source_url":"https://github.com/sarvamai/sarvam-streaming-apis","signal_url":null,"signal_json_url":null,"text":"# sarvamai/sarvam-streaming-apis\n\nLanguage: HTML\n\nStars: 1\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2025-05-31T14:44:01Z\n\nPushed: 2025-06-02T13:47:50Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Sarvam Streaming APIs\n\nWelcome to the Sarvam Streaming APIs repository! These APIs enable real-time data streaming for your applications, backed by Sarvam's robust, scalable platform.\n\n## 🚀 Quick Start\n\n**Sign up and Get Your API Key**\n- Visit [dashboard.sarvam.ai](https://dashboard.sarvam.ai) and log in or sign up.\n\n## 🛠️ Support\n\nFor help, open an issue or contact our support team via the developer@sarvam.ai."},{"ref":"P10","kind":"page","title":"sarvamai/llm_wer repository metadata","date":"2026-06-11T03:20:47.596116+00:00","date_source":null,"source_url":"https://github.com/sarvamai/llm_wer","signal_url":null,"signal_json_url":null,"text":"# sarvamai/llm_wer\n\nLanguage: Python\n\nStars: 26\n\nForks: 9\n\nOpen issues: 3\n\nCreated: 2025-07-08T06:39:43Z\n\nPushed: 2026-04-02T14:00:43Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n## Background and Motivation\n\nTo evaluate Automatic Speech Recognition, we traditionally use metrics like Word Error Rate (WER) and Character Error Rate (CER). These metrics work by strictly comparing the ASR's transcribed text to a perfect, human-verified reference text, word for word.\n\nHowever, human language, especially in a multilingual context like India, is fluid and filled with nuances. A rigid, word-for-word comparison often penalizes ASR models for making stylistic or formatting choices that are perfectly acceptable and do not change the meaning of the text. This leads to an inflated error rate and an inaccurate assessment of the ASR's true performance.\n\n## Why Standard WER is Insufficient for Indic Languages\n\nStandard WER can be misleading because it fails to understand context and semantic equivalence. It flags any textual difference as an error, even when no actual mistake in understanding has occurred.\n\nHere are a few cases where the WER would be high, but the transcription is functionally correct:\n\n- **Use of Different Scripts for Loanwords:** In Hindi, it is common to use English words. An ASR might write the English word \"doctor\" in its native Latin script, while the reference text might have it transliterated into Devanagari script (\"डॉक्टर\").\n- **Reference:** `वह डॉक्टर के पास गया`\n- **ASR Output:** `वह doctor के पास गया`\n- **Problem:** While both sentences are identical in meaning and would be understood perfectly by a Hindi speaker, standard WER would count \"doctor\" as an error, unfairly penalizing the model.\n- **Multiple Valid Spellings:** Many words in Indic languages have several accepted spellings. For instance, in Tamil, names and even common words can be written in slightly different ways without any loss of meaning.\n- **Reference:** `அவர்கள் ஒன்றாக வேலை செய்கிறார்கள்` (Avargal oṉṟāka vēlai ceykiṟārkaḷ)\n- **ASR Output:** `அவுங்க ஒண்ணா வேலை செய்றாங்க` (Avuṅka oṇṇā vēlai ceyṟāṅka)\n- **Problem:** The ASR has produced a colloquial but perfectly valid and"},{"ref":"P11","kind":"page","title":"sarvamai/llm_intent_entity repository metadata","date":"2026-06-11T03:20:47.388682+00:00","date_source":null,"source_url":"https://github.com/sarvamai/llm_intent_entity","signal_url":null,"signal_json_url":null,"text":"# sarvamai/llm_intent_entity\n\nDescription: LLM-Eval framework for evaluating performance of ASR models\n\nLanguage: Python\n\nStars: 61\n\nForks: 15\n\nOpen issues: 3\n\nCreated: 2025-11-20T13:20:42Z\n\nPushed: 2026-04-02T13:55:11Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# LLM Intent & Entity Evaluation\n\nThis repository provides a sophisticated framework for evaluating the performance of Automatic Speech Recognition (ASR) models by focusing on meaning preservation rather than just textual accuracy. It uses Large Language Models (LLMs) to assess whether the core **intent** of a spoken utterance and its key **entities** are correctly captured in the transcribed text.\n\n## Background and Motivation\n\nTraditional metrics for evaluating ASR systems, such as Word Error Rate (WER) and Character Error Rate (CER), measure performance by comparing the ASR's output text to a human-verified reference, word for word. While useful, these metrics have a significant limitation: they do not measure **comprehensibility**.\n\nAs highlighted in Google's research on meaning preservation, ASR models with a high WER can still be incredibly useful if the core meaning of the user's speech is preserved [[https://research.google/blog/assessing-asr-performance-with-meaning-preservation/](https://research.google/blog/assessing-asr-performance-with-meaning-preservation/)]. This is especially true for applications like voice commands, messaging, and conversations where minor grammatical errors are tolerable.\n\nThis tool was created to bridge that gap, providing a more nuanced and practical assessment of ASR performance.\n\n## Why Traditional Metrics Are Insufficient\n\nStandard WER and CER penalize all variations from the reference text equally, which is a flawed approach. The impact of a transcription error depends heavily on the context. A minor change in spelling or a `matra` (vowel sign in Indic scripts) can have vastly different consequences in different sentences.\n\nConsider these examples:\n\n- **Benign Error (Low Impact):**\n- **Reference:** `मैं कल दिल्ली जाऊंगा` (I will go to Delhi tomorrow)\n- **ASR Output:** `मैं कल दिल्ली जाउंगा` (A minor, common spelling variation)\n- **Problem:** A traditi"},{"ref":"P12","kind":"page","title":"Sr. Talent Partner","date":"2026-06-11T03:17:38.8+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/b184d7b5-b035-400d-88d2-09457c25d145","signal_url":null,"signal_json_url":null,"text":"Jobs"},{"ref":"P13","kind":"page","title":"Backend Engineer, API Team","date":"2026-06-11T03:17:31.177954+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/f46a00ea-a25b-478d-92b9-7a2deb129f5b","signal_url":null,"signal_json_url":null,"text":"# Backend Engineer, API Team\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T11:50:55.821+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nWe are hiring Backend Engineers for our API team, responsible for exposing and managing a family of ML models — ASR, TTS, LLM, Vision, and more — over high-performance APIs. You will build low-latency, fault-tolerant, and cloud-agnostic systems that serve millions of requests reliably across Azure, AWS, GCP, and on-prem infrastructures.\n\nWhat You'll Do\n\n• Design, develop, and optimise Python-based APIs (FastAPI, Django, Flask, or similar) for serving ML models at scale.\n\n• Build robust communication layers using HTTP, WebSockets, and gRPC.\n\n• Architect low-latency, fault-tolerant, and secure backend systems for real-time inference workloads.\n\n• Implement authentication, rate limiting, prioritisation, and secure coding practices.\n\n• Develop and manage integrations with voice agent SDKs, LLM SDKs, and related AI interfaces.\n\n• Work with PostgreSQL, Redis, and ClickHouse for data management and performance optimisation.\n\n• Build event-driven and streaming architectures using Kafka and Redis Streams.\n\n• Collaborate on canary deployments, feature rollouts, and CI/CD pipelines for smooth production releases.\n\n• Ensure systems are observable, reliable, and vendor-agnostic across multiple cloud environments.\n\nWhat We're Looking For\n\n• Strong proficiency in Python and hands-on experience with FastAPI, Django, Flask, or similar frameworks.\n\n• Deep understanding of HTTP, WebSockets, and gRPC protocols.\n\n• Proven experience building low-latency, distributed backend systems.\n\n• Hands-on experience with Postg"},{"ref":"P14","kind":"page","title":"Engagement Manager, Chanakya","date":"2026-06-11T03:17:31.090951+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/c0406fe0-c8c0-44aa-aa3e-b879f2bf1049","signal_url":null,"signal_json_url":null,"text":"# Engagement Manager, Chanakya\n\nTeam: Business Development\n\nLocation: Delhi\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T11:46:39.214+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nEngagement Manager is a senior client-facing role in the vertical. You own pipeline development, account strategy, and long-term engagement management. This is a builder role for someone who understands the procurement landscape, can engage at the CXO and technical leadership level, and can convert complex AI capability into funded, deployable programmes.\n\nWhat You'll Do\n\n• Own the day-to-day management of active client engagements, from scoping and alignment through to operational handover and adoption\n\n• Serve as the primary point of contact for clients across the engagement lifecycle; manage expectations proactively and honestly\n\n• Translate client operational problems into precise briefs that deployment and engineering teams can act on\n\n• Track delivery against commitments; surface risks early and drive resolution without waiting for escalation\n\n• Work with Strategic Deployment Engineers to ensure what is being built reflects what the client actually needs\n\n• Support pipeline development: account mapping, stakeholder outreach, and PoC scoping\n\n• Build and maintain working relationships with mid-to-senior client stakeholders; grow account depth over time\n\n• Surface ground-level observations back to the vertical as market intelligence\n\nWhat We're Looking For\n\n• 4–6 years of professional experience; foundational background at a top-tier consulting firm strongly preferred — with a track record of owning complex analytical work, structuring ambiguous problems, and being accountable for out"},{"ref":"P15","kind":"page","title":"Backend Engineer, Chanakya","date":"2026-06-11T03:17:30.870828+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/86ae80f8-b7eb-43a4-afde-fef58e77e23e","signal_url":null,"signal_json_url":null,"text":"# Backend Engineer, Chanakya\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T11:53:51.772+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nBackend Engineers on this team are builders, not maintainers. You will design and implement the core system infrastructure that powers Sarvam's 'atoms': MCP servers, on-prem deployment tooling, document ingestion pipelines, agentic backends, and API layers. These systems run in classified, air-gapped, and operationally constrained environments — or in enterprise environments with their own security, compliance, and integration constraints.\n\nThe architecture decisions you make will be inherited by every deployment that follows. You will ship real systems, not prototypes — and you will be accountable for how they behave in the field.\n\nWhat You'll Do\n\n• Design and build backend systems for Sarvam's atoms: MCP servers, document ingestion pipelines, agentic frameworks, NL-to-action APIs, and on-prem deployment tooling\n\n• Build robust, well-designed API layers that connect Sarvam's AI stack to client-side frontends and operational systems\n\n• Implement data ingestion and processing pipelines for unstructured data: PDFs, audio transcripts, imagery metadata, and geospatial feeds\n\n• Build for constrained deployment environments: containerised, minimal-dependency, auditable — systems that a deployment engineer can operate without you in the room\n\n• Write clean, well-tested, documented code that other engineers can extend and deployment teams can operate\n\n• Collaborate with frontend engineers, the data scientist, and MLOps to ship complete atoms end-to-end\n\n• Support Strategic Deployment Engineers with debu"},{"ref":"P16","kind":"page","title":"Data Scientist - Evaluations, Chanakya","date":"2026-06-11T03:17:30.840029+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/7c42207a-bb56-413c-839f-9ad692df840e","signal_url":null,"signal_json_url":null,"text":"# Data Scientist - Evaluations, Chanakya\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T11:56:48.684+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nThis is an intellectually demanding role. The Data Scientist anchors the evaluations function for this vertical — designing, building, and maintaining evaluation frameworks that measure model and system quality in operational context. You are not running standard benchmarks. You are building domain-specific eval harnesses for high-stakes use cases where a wrong answer carries real consequences.\n\nYou will work closely with the MLOps Engineer, the PM, and the deployment team. The evaluations you design are the mechanism by which the team determines whether what we've built is good enough to deploy — and whether it stays good after deployment.\n\nWhat You'll Do\n\n• Design and build evaluation frameworks for Sarvam's AI outputs across domain-specific requirements: document comprehension, command summarisation, geospatial reasoning, enterprise workflow automation, and others as they emerge\n\n• Define quality metrics in collaboration with domain experts and clients; translate operational requirements into measurable, defensible signals\n\n• Run structured evaluation cycles pre- and post-deployment; build dashboards that surface model quality in production\n\n• Identify failure modes, edge cases, and distribution shifts — with the bias of someone looking for what's wrong, not confirming what's right\n\n• Collaborate with the MLOps Engineer to operationalise eval pipelines — automated, triggered by deployment events, versioned, and reproducible\n\n• Build and manage domain-specific datasets for fine-tun"},{"ref":"P17","kind":"page","title":"Embedded Data Scientist, Chanakya","date":"2026-06-11T03:17:30.838369+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/dc047f4f-97be-4bb3-a9f1-cebbfc4de3e6","signal_url":null,"signal_json_url":null,"text":"# Embedded Data Scientist, Chanakya\n\nTeam: Engineering\n\nLocation: Delhi\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T11:59:15.600+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nEmbedded Data Scientists transform complex client data into structures that AI systems can reliably reason over. You are deployed alongside Strategic Deployment Engineers at client sites, working directly with client data environments to understand, structure, and operationalise large-scale datasets.\n\nThis means working with heterogeneous, multimodal data — including documents, images, audio, geospatial data, and structured records — and designing the semantic structures that allow AI systems to interpret and reason over that data.\n\nYou will define how data is represented inside the AI system: how documents are segmented, how metadata is defined, how entities and relationships are represented, and how different data modalities connect. You will design ontologies, tagging systems, and knowledge graph structures that allow the reasoning engine to operate effectively.\n\nYou will often work with classified or operationally sensitive datasets in environments where standard tooling may not exist. You will own the quality of the data layer in your assigned accounts, ensuring the system is built on a foundation that enables reliable reasoning at scale.\n\nWhat You'll Do\n\n• Understand the client's data landscape across documents, imagery, audio, geospatial data, and structured records — including data sources, formats, workflows, and domain terminology\n\n• Design domain ontologies representing entities, relationships, hierarchies, and operational concepts within the client's data environment\n\n• Define doc"},{"ref":"P18","kind":"page","title":"Embedded Infrastructure Engineer, Chanakya","date":"2026-06-11T03:17:30.790075+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/b2201b5e-1e96-497a-962c-bca1768f75fd","signal_url":null,"signal_json_url":null,"text":"# Embedded Infrastructure Engineer, Chanakya\n\nTeam: Engineering\n\nLocation: Delhi\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T12:01:22.644+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nEmbedded Infrastructure Engineers design, build, and maintain the data infrastructure that underpins AI system deployments at client sites. You work alongside Embedded Data Scientists and Strategic Deployment Engineers to ensure that terabyte-scale datasets can be ingested, stored, queried, and served to AI reasoning engines reliably and performantly.\n\nThis means building and operating data platforms that handle terabyte-scale persistent data stores and sustained large daily ingestion volumes across structured records, documents, imagery, audio, and geospatial data. You will design and maintain the databases, object stores, ingestion pipelines, and processing layers that make this possible.\n\nYou will make critical decisions about storage architecture, indexing strategies, pipeline orchestration, and system performance — often in constrained, air-gapped, or operationally sensitive environments where you cannot rely on managed cloud services or standard enterprise tooling. You will own the reliability and performance of the infrastructure layer in your assigned accounts.\n\nWhat You'll Do\n\n• Design and operate data storage architectures (relational, document, vector, object storage) capable of managing terabyte-scale datasets across multiple modalities\n\n• Build and maintain ingestion pipelines that reliably process daily data influx — including batch and streaming workloads — with monitoring, error handling, and backpressure management\n\n• Implement indexing, partitioning, and query optim"},{"ref":"P19","kind":"page","title":"Forward Deployed Software Engineer | 2-5 years","date":"2026-06-11T03:17:30.754411+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/ac2b835e-375c-48d8-a174-8c2935f408b2","signal_url":null,"signal_json_url":null,"text":"# Forward Deployed Software Engineer | 2-5 years\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T12:03:27.143+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nWe are looking for high-agency engineers who can architect and build production-grade solutions using generative AI and agentic systems. As an FDSE at Sarvam, you will work directly with customers and product teams, understand their problems deeply, and ship real solutions fast — not prototypes or demos, but things that run in production.\n\nThis is not a single opening. We have multiple positions across Samvaad, API Dashboard, Content Studio, and ARYA — and we will match you to the team where your skills and interests fit best.\n\nWhat You'll Do\n\nThe specifics depend on which product team you join. Here is what ownership looks like across each:\n\nSamvaad\n\n• Build, deploy, monitor, and evaluate conversational AI agents across channels — Voice, WhatsApp, website (voice and chat), and in-app — integrating them deeply into client systems and workflows\n\n• Scope and design end-to-end technical solutions for client requirements, translating business needs into clean, production-ready architectures\n\n• Own client engagements from kickoff to go-live: manage technical communication, build strong client relationships, and keep delivery on track\n\n• Instrument and improve deployed agents: debug failure modes, tune prompts, and iterate on agent behaviour based on real usage data\n\n• Work closely with product and research to bring new model capabilities into customer-facing features quickly\n\nAPI Dashboard\n\n• Build plugins, integrations, and developer-facing tooling that make Sarvam APIs easy to u"},{"ref":"P20","kind":"page","title":"Frontend Engineer, API Platform","date":"2026-06-11T03:17:30.583475+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/be4e00ea-c63f-46d5-bff4-f024b9682132","signal_url":null,"signal_json_url":null,"text":"# Frontend Engineer, API Platform\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T12:06:44.087+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nWe are looking for a skilled Frontend Engineer proficient in ReactJS and TypeScript. You will build and optimise dynamic, user-friendly web applications that power AI-driven products, working closely with backend engineers, designers, product managers, and AI/ML teams to create intuitive and scalable user interfaces.\n\nWhat You'll Do\n\n• Build, optimise, and maintain scalable web applications using Next.js and TypeScript\n\n• Develop reusable components and frontend libraries for future use\n\n• Integrate and consume RESTful APIs efficiently in collaboration with backend engineers\n\n• Ensure application performance, security, responsiveness, and cross-browser compatibility\n\n• Implement best practices for UI/UX, accessibility, and responsive design\n\n• Maintain high-quality code through unit testing, code reviews, and adherence to coding standards\n\n• Collaborate with designers and product teams to deliver pixel-perfect, seamless user experiences\n\n• Continuously improve frontend architecture, performance, and maintainability\n\n• Use error monitoring, analytics, and A/B testing tools to inform UI decisions and enhance user experience\n\nWhat We're Looking For\n\n• Strong proficiency in ReactJS and TypeScript\n\n• Experience with state management using React Query, Redux, or Context API\n\n• Hands-on experience integrating and building RESTful APIs\n\n• Solid understanding of responsive design, performance optimisation, and accessibility\n\n• Familiarity with Git and version control workflows\n\n• Strong analytical, "},{"ref":"P21","kind":"page","title":"Machine Learning Engineer, Vision","date":"2026-06-11T03:17:30.549219+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/282019f4-f86b-4fe0-a643-bbac0cd8a751","signal_url":null,"signal_json_url":null,"text":"# Machine Learning Engineer, Vision\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T12:18:08.295+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nYou will work across the full lifecycle of vision-language model (VLM) development — data, training, evaluation, and production. The team's scope will evolve as the field does; we want engineers who are comfortable with that.\n\nWhat You'll Do\n\n• Design and run training and fine-tuning pipelines for large vision-language models on GPU clusters\n\n• Build multimodal data pipelines — ingestion, filtering, deduplication, synthetic generation, and quality assurance\n\n• Implement and experiment with new architectures and training techniques from research\n\n• Build evaluation harnesses, benchmarks, and automated regression tracking\n\n• Optimise models for inference — quantisation, batching, and serving infrastructure\n\n• Build robust pipelines and integrations that put vision model capabilities in the hands of end users\n\n• Translate real-world problems into well-scoped ML tasks with the right data and evaluation strategy\n\n• Work directly with clients to understand their use cases — document processing, visual search, form extraction — and own the solution end to end\n\n• Build production-grade systems on top of Sarvam Vision and open-source models: multimodal pipelines, retrieval-augmented workflows, and structured output extraction\n\n• Debug and improve deployed solutions — latency, accuracy, edge cases, and integration with client infrastructure\n\nWhat We're Looking For\n\n• Strong Python and PyTorch — comfortable reading and modifying model internals\n\n• Hands-on experience training or fine-tuning large mo"},{"ref":"P22","kind":"page","title":"Product Manager (Models)","date":"2026-06-11T03:17:30.544029+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/9e197c29-5164-42eb-8e74-4f691a794517","signal_url":null,"signal_json_url":null,"text":"# Product Manager (Models)\n\nTeam: Product\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T19:17:20.479+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nWe are hiring a Model Product Manager to own charters for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. You will work closely with research and engineering teams to define roadmaps, run training and evaluation cycles, and ship models that directly improve product experience and reliability.\n\n \n\nWhat You'll Do\n\n• Define and drive roadmaps for ASR, TTS, and evaluation systems.\n\n• Partner with engineering and research teams on data collection, training cycles, and model release planning.\n\n• Set up and own evaluation frameworks and quality metrics covering accuracy, latency, MOS, and robustness.\n\n• Run structured experiments — offline tests, A/Bs, and human evaluations — to quantify model improvements.\n\n• Ensure scalable deployment and monitoring of models in collaboration with infra and data teams.\n\n• Translate user and business needs into measurable model goals.\n\n• Communicate priorities, timelines, and trade-offs clearly across stakeholders.\n\n \n\nWhat We're Looking For\n\n• 3+ years of experience building AI, applied AI, ML products, or model training pipelines.\n\n• Familiarity with the model lifecycle: training, fine-tuning, deployment, and monitoring.\n\n• Strong analytical skills and comfort with data-driven decision making.\n\n• Ability to collaborate effectively across research, engineering, and product teams.\n\n \n\nBonus Points\n\n• Exposure to speech technologies (ASR, TTS) or evaluation pipelines.\n\n• Experience with quality metrics such as WER, CER, MOS, or la"},{"ref":"P23","kind":"page","title":"Partnerships & Alliances Lead (GSIs) - India","date":"2026-06-11T03:17:30.490058+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/c770b621-363c-46ba-ac24-8407ecee4af5","signal_url":null,"signal_json_url":null,"text":"# Partnerships & Alliances Lead (GSIs) - India\n\nTeam: Sales/GTM\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T19:19:55.639+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nAs Partnerships & Alliances Lead (GSIs), you will build, scale, and own Sarvam's partnerships with India-based GSIs (TCS, Infosys, Wipro, HCL, TechM) and global GSIs operating from India (Accenture, Deloitte, EY, KPMG, PwC, Cognizant), plus aligned ecosystem players. Your mandate: turn Sarvam's sovereign AI stack into repeatable GSI offerings and co-sell motions that drive measurable revenue across India and global markets.\n\n \n\nWhat You'll Do\n\n \n\nStrategic Relationship Ownership\n\n• Create and execute joint business plans with priority GSIs — covering revenue targets, solution plays, and marketing calendars\n\n• Build executive relationships across GSI practices (BFSI, public sector, manufacturing), CoEs, and global leadership\n\n• Structure partnership constructs that align interests across build, implementation, and resale models — including GTM funds, MDF, pricing, and delivery governance tuned to the Indian market\n\n \n\nBusiness Development & Revenue\n\n• Originate and accelerate partner-sourced and partner-influenced deals\n\n• Orchestrate co-marketing through case studies, joint PR, webinars, and thought leadership on Sarvam's global narratives\n\n• Drive lighthouse wins in BFSI, public sector, manufacturing, and telcos via structured playbooks\n\n• Build and manage a rigorous pipeline with forecasting, QBRs, and joint win/loss reviews\n\n \n\nSolution & Enablement\n\n• Co-create industry offerings and IP with GSI CoEs using Sarvam's stack — including Contact Centre Modernisation, Workflow A"},{"ref":"P24","kind":"page","title":"Principal Security Engineer","date":"2026-06-11T03:17:30.464853+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/2cb7b4f9-4b09-450d-945a-78a9d597c734","signal_url":null,"signal_json_url":null,"text":"# Principal Security Engineer\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T19:28:18.358+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nSarvam AI is building foundational AI infrastructure. We're looking for a hands-on security leader who brings the rigor, threat modeling discipline, and depth of BFSI/Fintech security — and applies it to AI infrastructure, platforms, and products.\n\nYou will own security strategy, product security, and security research while staying deeply technical and close to the systems you're securing. This is not an audit management role — you'll be designing architectures, finding vulnerabilities, and shipping fixes.\n\n \n\nWhat You'll Do\n\nSecurity Strategy & Architecture\n\n• Define and evolve Sarvam AI's end-to-end security strategy\n\n• Design secure architectures for Sarvam's products and API platform\n\n• Apply BFSI-grade threat modeling and controls to AI infrastructure\n\n• Make pragmatic risk decisions that balance research velocity with security\n\nProduct & Application Security\n\n• Lead threat modeling for AI products, APIs, and data systems\n\n• Own application and API security, including auth, access control, and data isolation\n\n• Drive vulnerability discovery, remediation, and verification\n\nSystems & Processes\n\n• Set up systems and processes to proactively find and validate vulnerabilities across products and infrastructure\n\n• Perform targeted adversarial testing and red-teaming\n\n• Research emerging threats relevant to AI systems and enterprise use cases\n\nCloud & DevSecOps\n\n• Secure cloud infrastructure, IAM, and secrets management\n\n• Integrate security checks into CI/CD pipelines without slowing teams d"},{"ref":"P25","kind":"page","title":"ML Ops Engineer, Chanakya","date":"2026-06-11T03:17:30.287726+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/e7f783e8-6378-4158-97d5-48a397a91698","signal_url":null,"signal_json_url":null,"text":"# ML Ops Engineer, Chanakya\n\nTeam: Engineering\n\nLocation: Delhi\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T20:08:16.547+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nThe MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines and environment management. You ensure the system is always on, always accurate, and always auditable.\n\nYou will work across both layers: supporting Strategic Deployment Engineers in the field, and owning the model deployment infrastructure for new products being built by the product engineering team. The standards here are uncompromising — a model failure is not a UX problem, it is an operational risk.\n\n \n\nWhat You'll Do\n\n• Design and operate model serving infrastructure across on-prem and cloud deployments\n\n• Build and maintain CI/CD pipelines for model updates, rollbacks, and evaluation-gated deployments\n\n• Monitor model performance in production — latency, accuracy drift, throughput, failure modes — and build systems that surface issues before clients do\n\n• Build evaluation infrastructure: harnesses, A/B testing, and model comparison tooling for field and lab use\n\n• Manage containerised model serving in constrained, air-gapped, and edge environments\n\n• Collaborate with Data Scientists on eval pipelines; own the infrastructure layer underneath\n\n• Create runbooks and operational playbooks that Strategic Deployment Engineers can use in the field\n\n• Own incident response for model-layer failures across all active deployments\n\n \n\nWhat We're Looking For\n\n• 3–5 years in ML engineering or MLOps with at least one production LLM or ML system"},{"ref":"P26","kind":"page","title":"Researcher, Vision","date":"2026-06-11T03:17:30.274416+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/255816b4-c44d-481c-a093-73ae114d1952","signal_url":null,"signal_json_url":null,"text":"# Researcher, Vision\n\nTeam: Engineering\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T20:00:54.275+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nYou will work across the full lifecycle of vision-language model (VLM) development — data, training, evaluation, and production. The team's scope will evolve as the field does; we want researchers who are comfortable with that and can lead.\n\n \n\nWhat You'll Do\n\n• Research vision-language architectures — encoders, fusion mechanisms, pretraining objectives, and scaling behaviour\n\n• Design training methods (pretraining, SFT, RLHF, DPO) adapted for multilingual VLMs\n\n• Investigate data strategies — what mixtures, quality signals, and synthetic data approaches actually move the needle\n\n• Build evaluation frameworks and benchmarks, especially for Indic multimodal tasks\n\n• Study model failure modes, robustness, and interpretability\n\n• Work closely with engineers to ensure ideas are testable at scale — prototype fast, then validate properly\n\n• Engage with the broader research community through open-source contributions and collaborations\n\n \n\nWhat We're Looking For\n\n• Deep understanding of vision-language models — training dynamics, architecture tradeoffs, and failure modes\n\n• Track record of good research — through publications, technical reports, or impactful shipped work\n\n• Rigorous experimental design — able to isolate variables and draw defensible conclusions\n\n• Strong PyTorch skills — runs experiments end to end\n\n• Intellectual range — willing to work across data, training, and evaluation problems\n\n \n\nBonus Points\n\n• PhD/Master's with relevant research experience in ML, Computer Vision, NLP, or related f"},{"ref":"P27","kind":"page","title":"Product Manager","date":"2026-06-11T03:17:30.261152+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/c4bb3b2c-7608-4d57-8761-650b4222ac13","signal_url":null,"signal_json_url":null,"text":"# Product Manager\n\nTeam: Product\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T19:38:19.123+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nWe're looking for product managers who are builders first — people who talk to customers constantly, ship real product to real users, and get into the details of how AI systems behave in production. This is not a role tied to one specific product line. Based on your strengths and interests, you could work across consumer AI products, enterprise platforms, developer tools, speech and voice systems, or edge deployments.\n\nYou have 3–7 years of product building experience, have shipped products at meaningful scale at strong B2C or B2B companies in India, and have real, hands-on familiarity with how AI products work under the hood.\n\n \n\nWhat You'll Do\n\n• Own a product area end-to-end — talk to users, write specs, define success metrics, ship, and measure outcomes\n\n• Get into the details of how AI systems behave in production: prompt design, model selection, latency budgets, failure modes, and eval pipelines\n\n• Write code, prompts, and copy when that's the fastest path to learning or validating an idea\n\n• Set up funnels, write queries, and instrument events to diagnose what's working and what's broken\n\n• Work directly with engineering, design, and leadership — no layers, no hand-offs\n\n• Ship product every week, not plans\n\n \n\nWhat We're Looking For\n\n• 3–7 years of product management experience; you have shipped real products at meaningful scale at strong B2C or B2B companies in India\n\n• Currently a product manager — this role is not for people transitioning from consulting, project management, or program management"},{"ref":"P28","kind":"page","title":"GTM/Product, Vision","date":"2026-06-11T03:17:30.189725+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/sarvam/974b848a-f66c-46f1-918b-22e29b03b276","signal_url":null,"signal_json_url":null,"text":"# GTM/Product, Vision\n\nTeam: Sales/GTM\n\nLocation: Bengaluru\n\nEmployment type: FullTime\n\nWorkplace type: OnSite\n\nRemote: no\n\nPublished: 2026-04-17T20:02:00.852+00:00\n\nAbout Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nWe are looking for someone to own go-to-market efforts for the Vision team's products — including the Akshar Platform, Document Intelligence APIs, and Vision APIs. This is a GTM-focused role with some product exposure. You will be the bridge between our clients and our engineering team: demoing products, following up with leads, supporting enterprise clients post-sale, and channelling market feedback back to the team. You will work closely with the API GTM team, Sales team, and Product team across the organisation.\n\nThis is a great role for someone early in their career who is excited about AI, comfortable talking to clients, and eager to develop both GTM and product instincts in a fast-moving startup.\n\n \n\nWhat You'll Do\n\n \n\nGo-to-Market\n\n• Demo the Akshar Platform, Vision APIs, and Document Intelligence APIs to prospective clients across enterprise and SMB segments.\n\n• Connect prospective clients with the appropriate tools, documentation, and dashboard access.\n\n• Represent the Vision team in client calls — follow up with leads, track RFPs, and coordinate with the API GTM and Sales teams.\n\n• Support enterprise clients on the Akshar Platform — address issues, answer questions, and ensure a smooth post-sale experience.\n\n \n\nProduct & Feedback\n\n• Collect and synthesise client and market feedback into actionable feature requests for the engineering team, through both formal channels (tickets, briefs) and informal relay.\n\n• Develop a working understanding of the Vision team's products and technical capabili"},{"ref":"E1","kind":"event","title":"sarvamai/sarvam-m","date":"2025-05-20T06:39:05+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/sarvam-m","signal_url":"https://onlylabs.fyi/signals/c42fdf60-e06d-473c-86cf-eb7ffd0a3b04","signal_json_url":"https://onlylabs.fyi/signals/c42fdf60-e06d-473c-86cf-eb7ffd0a3b04/signal.json","text":"model_released · sarvamai/sarvam-m · signal_desk=releases · occurred_at=2025-05-20T06:39:05+00:00 · url=https://huggingface.co/sarvamai/sarvam-m · hf_downloads=4612 · hf_likes=344 · hf_params=23572403200 · pipeline=text-generation · license=apache-2.0 · raw={\"derived_reason\":\"first-party-finetune\"}"},{"ref":"E2","kind":"event","title":"sarvamai/sarvam-105b","date":"2026-03-03T13:13:55+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/sarvam-105b","signal_url":"https://onlylabs.fyi/signals/7dc590e1-15e2-465e-80c4-d7679d3b0d68","signal_json_url":"https://onlylabs.fyi/signals/7dc590e1-15e2-465e-80c4-d7679d3b0d68/signal.json","text":"model_released · sarvamai/sarvam-105b · signal_desk=releases · occurred_at=2026-03-03T13:13:55+00:00 · url=https://huggingface.co/sarvamai/sarvam-105b · hf_downloads=12566 · hf_likes=273 · hf_params=106031767424 · pipeline=text-generation · license=apache-2.0"},{"ref":"E3","kind":"event","title":"sarvamai/sarvam-30b","date":"2026-03-03T12:53:32+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/sarvam-30b","signal_url":"https://onlylabs.fyi/signals/27a7f90b-8d29-490f-985e-274f4947fcfb","signal_json_url":"https://onlylabs.fyi/signals/27a7f90b-8d29-490f-985e-274f4947fcfb/signal.json","text":"model_released · sarvamai/sarvam-30b · signal_desk=releases · occurred_at=2026-03-03T12:53:32+00:00 · url=https://huggingface.co/sarvamai/sarvam-30b · hf_downloads=56174 · hf_likes=204 · hf_params=32152650368 · pipeline=text-generation · license=apache-2.0"},{"ref":"E4","kind":"event","title":"sarvamai/sarvam-1","date":"2024-10-23T13:18:53+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/sarvam-1","signal_url":"https://onlylabs.fyi/signals/2e2d81ce-54d7-4b9a-8d45-97cfb3aed3a4","signal_json_url":"https://onlylabs.fyi/signals/2e2d81ce-54d7-4b9a-8d45-97cfb3aed3a4/signal.json","text":"model_released · sarvamai/sarvam-1 · signal_desk=releases · occurred_at=2024-10-23T13:18:53+00:00 · url=https://huggingface.co/sarvamai/sarvam-1 · hf_downloads=5554 · hf_likes=139 · hf_params=2525087744 · pipeline=text-generation"},{"ref":"E5","kind":"event","title":"sarvamai/sarvam-translate","date":"2025-06-07T10:13:56+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/sarvam-translate","signal_url":"https://onlylabs.fyi/signals/d133ad2f-299d-4081-8b45-d6abb7259262","signal_json_url":"https://onlylabs.fyi/signals/d133ad2f-299d-4081-8b45-d6abb7259262/signal.json","text":"model_released · sarvamai/sarvam-translate · signal_desk=releases · occurred_at=2025-06-07T10:13:56+00:00 · url=https://huggingface.co/sarvamai/sarvam-translate · hf_downloads=10804 · hf_likes=135 · hf_params=4300079472 · pipeline=translation · license=gpl-3.0 · raw={\"derived_reason\":\"first-party-finetune\"}"},{"ref":"E6","kind":"event","title":"sarvamai/sarvam-1-v0.5","date":"2024-08-13T07:32:37+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/sarvam-1-v0.5","signal_url":"https://onlylabs.fyi/signals/cdeb5674-6ea6-4403-aea5-0db09be329ae","signal_json_url":"https://onlylabs.fyi/signals/cdeb5674-6ea6-4403-aea5-0db09be329ae/signal.json","text":"model_released · sarvamai/sarvam-1-v0.5 · signal_desk=releases · occurred_at=2024-08-13T07:32:37+00:00 · url=https://huggingface.co/sarvamai/sarvam-1-v0.5 · hf_downloads=1473 · hf_likes=101 · hf_params=2508834816 · pipeline=text-generation · license=other"},{"ref":"E7","kind":"event","title":"sarvamai/shuka-1","date":"2024-08-08T21:45:22+00:00","date_source":"source","source_url":"https://huggingface.co/sarvamai/shuka-1","signal_url":"https://onlylabs.fyi/signals/186da869-f835-4a0d-8310-2015dd4cadc4","signal_json_url":"https://onlylabs.fyi/signals/186da869-f835-4a0d-8310-2015dd4cadc4/signal.json","text":"model_released · sarvamai/shuka-1 · signal_desk=releases · occurred_at=2024-08-08T21:45:22+00:00 · url=https://huggingface.co/sarvamai/shuka-1 · hf_downloads=339 · hf_likes=90 · hf_params=8725780480 · pipeline=audio-text-to-text · license=llama3"},{"ref":"E8","kind":"event","title":"Applied AI Engineer, Sarvam Agents","date":"2026-06-10T17:13:02.712+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/30259734-50c3-4f1c-81cd-8bff07e585e7","signal_url":"https://onlylabs.fyi/signals/a0ed2969-b120-4cec-a95c-f84203926563","signal_json_url":"https://onlylabs.fyi/signals/a0ed2969-b120-4cec-a95c-f84203926563/signal.json","text":"job_opened · Applied AI Engineer, Sarvam Agents · signal_desk=hiring · occurred_at=2026-06-10T17:13:02.712+00:00 · url=https://jobs.ashbyhq.com/sarvam/30259734-50c3-4f1c-81cd-8bff07e585e7 · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E9","kind":"event","title":"Business Development - Education & Healthcare","date":"2026-06-08T09:17:21.529+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/7f3aa010-8b45-475f-a361-2c6b51074558","signal_url":"https://onlylabs.fyi/signals/29f74af2-73b4-4a96-a8d3-6186ba033121","signal_json_url":"https://onlylabs.fyi/signals/29f74af2-73b4-4a96-a8d3-6186ba033121/signal.json","text":"job_opened · Business Development - Education & Healthcare · signal_desk=hiring · occurred_at=2026-06-08T09:17:21.529+00:00 · url=https://jobs.ashbyhq.com/sarvam/7f3aa010-8b45-475f-a361-2c6b51074558 · raw={\"location\":\"Bengaluru\",\"team\":\"Sales/GTM\",\"ats\":\"ashby\"}"},{"ref":"E10","kind":"event","title":"CISO","date":"2026-06-08T07:57:32.416+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/8b83a923-78ac-485d-a1b4-304ea526160c","signal_url":"https://onlylabs.fyi/signals/bda866e0-c177-44cf-8e5a-377529003ec6","signal_json_url":"https://onlylabs.fyi/signals/bda866e0-c177-44cf-8e5a-377529003ec6/signal.json","text":"job_opened · CISO · signal_desk=hiring · occurred_at=2026-06-08T07:57:32.416+00:00 · url=https://jobs.ashbyhq.com/sarvam/8b83a923-78ac-485d-a1b4-304ea526160c · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E11","kind":"event","title":"GTM & Strategy Associate, Sarvam Studio","date":"2026-06-05T08:26:03.478+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/e72fad96-0e1a-4926-8cf4-b3986fc59e6c","signal_url":"https://onlylabs.fyi/signals/0da58707-8608-4400-b3da-921d192c9455","signal_json_url":"https://onlylabs.fyi/signals/0da58707-8608-4400-b3da-921d192c9455/signal.json","text":"job_opened · GTM & Strategy Associate, Sarvam Studio · signal_desk=hiring · occurred_at=2026-06-05T08:26:03.478+00:00 · url=https://jobs.ashbyhq.com/sarvam/e72fad96-0e1a-4926-8cf4-b3986fc59e6c · raw={\"location\":\"Bengaluru\",\"team\":\"Sales/GTM\",\"ats\":\"ashby\"}"},{"ref":"E12","kind":"event","title":"Performance Engineer, On-Device Inference","date":"2026-06-04T18:10:21.432+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/6ad226cd-9400-41b6-9c64-db35b7d24516","signal_url":"https://onlylabs.fyi/signals/d825bc36-ba52-4ddc-a46f-6434f27daab8","signal_json_url":"https://onlylabs.fyi/signals/d825bc36-ba52-4ddc-a46f-6434f27daab8/signal.json","text":"job_opened · Performance Engineer, On-Device Inference · signal_desk=hiring · occurred_at=2026-06-04T18:10:21.432+00:00 · url=https://jobs.ashbyhq.com/sarvam/6ad226cd-9400-41b6-9c64-db35b7d24516 · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E13","kind":"event","title":"Senior Performance Engineer, Discrete GPU","date":"2026-06-04T18:05:58.002+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/4129247f-07d0-4fea-b72e-f86adabc55ad","signal_url":"https://onlylabs.fyi/signals/c66e7622-bf8c-4fe2-8124-b1e10e03efa5","signal_json_url":"https://onlylabs.fyi/signals/c66e7622-bf8c-4fe2-8124-b1e10e03efa5/signal.json","text":"job_opened · Senior Performance Engineer, Discrete GPU · signal_desk=hiring · occurred_at=2026-06-04T18:05:58.002+00:00 · url=https://jobs.ashbyhq.com/sarvam/4129247f-07d0-4fea-b72e-f86adabc55ad · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E14","kind":"event","title":"Senior Performance Engineer, Intel Stack","date":"2026-06-04T18:02:40.346+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/44ba25a3-d262-429e-ad5b-c8711565f6e3","signal_url":"https://onlylabs.fyi/signals/7f6dbe11-e6eb-44e9-8bcc-70f5c581f07a","signal_json_url":"https://onlylabs.fyi/signals/7f6dbe11-e6eb-44e9-8bcc-70f5c581f07a/signal.json","text":"job_opened · Senior Performance Engineer, Intel Stack · signal_desk=hiring · occurred_at=2026-06-04T18:02:40.346+00:00 · url=https://jobs.ashbyhq.com/sarvam/44ba25a3-d262-429e-ad5b-c8711565f6e3 · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E15","kind":"event","title":"Senior Performance Engineer, Mobile NPU (Qualcomm + Apple)","date":"2026-06-04T17:58:06.053+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/bb0ce8d1-5653-42b8-8f8c-0ff25fb0cfe6","signal_url":"https://onlylabs.fyi/signals/f581f455-5820-4033-9f87-7ec69ef8f3b3","signal_json_url":"https://onlylabs.fyi/signals/f581f455-5820-4033-9f87-7ec69ef8f3b3/signal.json","text":"job_opened · Senior Performance Engineer, Mobile NPU (Qualcomm + Apple) · signal_desk=hiring · occurred_at=2026-06-04T17:58:06.053+00:00 · url=https://jobs.ashbyhq.com/sarvam/bb0ce8d1-5653-42b8-8f8c-0ff25fb0cfe6 · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E16","kind":"event","title":"Architect, On-Device Inference","date":"2026-06-04T17:53:26.346+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/a0572d24-d8c6-47c2-b136-0ae115a96a75","signal_url":"https://onlylabs.fyi/signals/746f92e6-64a8-4930-b219-65ab8c8b0d29","signal_json_url":"https://onlylabs.fyi/signals/746f92e6-64a8-4930-b219-65ab8c8b0d29/signal.json","text":"job_opened · Architect, On-Device Inference · signal_desk=hiring · occurred_at=2026-06-04T17:53:26.346+00:00 · url=https://jobs.ashbyhq.com/sarvam/a0572d24-d8c6-47c2-b136-0ae115a96a75 · raw={\"location\":\"Bengaluru\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E17","kind":"event","title":"sarvamai/mlx-examples","date":"2026-06-04T10:42:39+00:00","date_source":"source","source_url":"https://github.com/sarvamai/mlx-examples","signal_url":"https://onlylabs.fyi/signals/7d03d029-743f-4a65-9ea1-62aa80aea48a","signal_json_url":"https://onlylabs.fyi/signals/7d03d029-743f-4a65-9ea1-62aa80aea48a/signal.json","text":"repo_forked · sarvamai/mlx-examples · signal_desk=forks · occurred_at=2026-06-04T10:42:39+00:00 · url=https://github.com/sarvamai/mlx-examples · raw={\"repo\":\"sarvamai/mlx-examples\",\"parent\":\"ml-explore/mlx-examples\"}"},{"ref":"E18","kind":"event","title":"Head of Growth Marketing","date":"2026-06-03T17:19:08.998+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/sarvam/3d479c06-8537-40ee-bcbb-a7d337013da4","signal_url":"https://onlylabs.fyi/signals/9b132407-f1e1-47ea-b1a5-8506edfe303b","signal_json_url":"https://onlylabs.fyi/signals/9b132407-f1e1-47ea-b1a5-8506edfe303b/signal.json","text":"job_opened · Head of Growth Marketing · signal_desk=hiring · occurred_at=2026-06-03T17:19:08.998+00:00 · url=https://jobs.ashbyhq.com/sarvam/3d479c06-8537-40ee-bcbb-a7d337013da4 · raw={\"location\":\"Bengaluru\",\"team\":\"Marketing\",\"ats\":\"ashby\"}"},{"ref":"E19","kind":"event","title":"Product Marketing 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signal_desk=forks · occurred_at=2026-05-28T11:00:10+00:00 · url=https://github.com/sarvamai/harbor · raw={\"repo\":\"sarvamai/harbor\",\"parent\":\"harbor-framework/harbor\"}"},{"ref":"E34","kind":"event","title":"sarvamai/Gym","date":"2026-05-28T10:59:24+00:00","date_source":"source","source_url":"https://github.com/sarvamai/Gym","signal_url":"https://onlylabs.fyi/signals/14b92b02-b92d-4552-9308-119620febc98","signal_json_url":"https://onlylabs.fyi/signals/14b92b02-b92d-4552-9308-119620febc98/signal.json","text":"repo_forked · sarvamai/Gym · signal_desk=forks · occurred_at=2026-05-28T10:59:24+00:00 · url=https://github.com/sarvamai/Gym · 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