Sarvam AI — India's newest AI unicorn ($1.5B), building sovereign multilingual large language models — hires early-career AI/LLM engineers and interns in Bengaluru, working on foundation models, RAG pipelines and agentic systems.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, requisition IDs) on the official portal before applying.
Role Overview
Location: Bengaluru · On-site
Type: LLM / AI Engineer (early-career) & Interns
Experience: Early-career / freshers with a strong AI portfolio
Package: Competitive, as per Sarvam AI norms (confirm on the official listing)
Key Highlights
- Work on multilingual LLMs, RAG and agentic AI
- India's foundation-model unicorn (Bengaluru)
- Early-career roles + internships (e.g., Developer Relations)
- Portfolio and shipping ability matter more than college pedigree
Eligibility & Skills
- B.E/B.Tech/M.Tech/MCA or equivalent (strong self-taught welcome)
- Solid Python and ML/DL fundamentals
- Hands-on with LangChain/LlamaIndex, RAG and agentic frameworks (AutoGen/CrewAI/LangGraph)
- A public GitHub portfolio of shipped AI projects
How to Apply
Check current openings and apply on the official Sarvam AI Careers page (also listed on LinkedIn / AngelList). Lead with your GitHub and shipped AI projects.
Pro tips: for AI-first companies your GitHub portfolio is your resume — ship real projects (a working RAG app, an agentic workflow with LangGraph/CrewAI, a fine-tuned or prompt-engineered LLM demo), write clean READMEs, and reference them in every application.
How to Prepare for This Role
Build LLM, RAG and agentic skills and a public portfolio; prepare with our RAG interview questions and the Agentic AI Engineer roadmap.
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Want to Crack Agentic AI & RAG Roles Confidently?
Cloud Soft Solutions (Hyderabad, with live-online batches across India) offers hands-on AI/ML + Generative & Agentic AI training — Python, LLMs, RAG (LangChain, LlamaIndex, vector databases), agentic frameworks (LangGraph, CrewAI, AutoGen), real projects, interview preparation and proven placement support.
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Frequently Asked Questions
Who can apply for early-career AI/LLM roles at Sarvam AI?
Early-career candidates and freshers with a B.E/B.Tech/M.Tech/MCA (strong self-taught welcome), solid Python and ML/DL fundamentals, hands-on RAG/agentic experience (LangChain, LlamaIndex, AutoGen/CrewAI/LangGraph) and a public GitHub portfolio of shipped AI projects.
How do I apply to Sarvam AI?
Check current openings on the official Sarvam AI careers page (sarvam.ai/careers) and its LinkedIn/AngelList listings. Lead your application with a GitHub portfolio of shipped AI projects.