Role snapshot
We are hiring final-year students from Tier 1 institutes for a 6-month internship building production GenAI applications in Python.

About the role
Our engineering team is building LLM-powered features that real users rely on every day.
As a Python + GenAI intern, you will work alongside senior engineers on live projects, not sandbox exercises. You will design, build and evaluate RAG pipelines and AI agents, and ship your work to production by the end of the internship.

What you'll work on
• Build RAG pipelines: document ingestion, chunking, embeddings, vector search and grounded answer generation.
• Develop LLM agents that use tools, call APIs and complete multi-step tasks reliably.
• Write and iterate on prompts, and run structured experiments to improve output quality.
• Set up evaluation for LLM outputs: test sets, accuracy and hallucination checks, latency and cost tracking.
• Write clean, tested Python services (e.g., FastAPI) that expose AI features to other teams.
• Integrate with LLM providers and open-source models, and compare them on quality, speed and cost.




• Document your work and present a demo of your project to the engineering team at the end of the internship.

Must-have skills
• Strong Python: data structures, OOP, writing modular and readable code.
• Solid grasp of computer science fundamentals: algorithms, complexity, databases and APIs.
• Working knowledge of how LLMs behave: tokens, context windows, prompting, temperature and hallucinations.
• Hands-on experience calling at least one LLM API (OpenAI, Anthropic, Gemini or an open-source model).
• At least one AI or GenAI project (academic, personal, hackathon or internship) you can walk us through end to end.
• Comfort with Git and the command line.
• Explicit written and spoken communication in English.

Good to have
• Experience with LangChain, LlamaIndex, LangGraph or similar orchestration frameworks.
• Familiarity with vector databases such as FAISS, Chroma, Pinecone, Weaviate o

📌 Python + GenAI Intern (Gurugram)
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