AI Engineering Intern

About the role

As an AI Engineering Intern, you'll work directly with our core engineering team to design, build, and evaluate AI-powered systems that solve real problems at scale. This is a hands-on, high-autonomy role with meaningful responsibility from day one.

What you'll do

• Design and develop AI agents and coding agents using leading LLMs, integrating tool use, memory, and multi-step reasoning.
  
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines — from chunking and embeddings to vector stores and reranking.
  
• Implement Model Context Protocol (MCP) integrations and custom tool harnesses to extend LLM capabilities into real-world systems.
  
• Craft and systematically refine prompts (zero-shot, few-shot, chain-of-thought), documenting what works and why.
  
• Build AI workflows that orchestrate multiple models, tools, and data sources into end-to-end applications.
  
• Construct evaluation (eval) frameworks to benchmark model accuracy, reliability, and regression.
  
• Instrument AI systems with observability tooling — traces, token usage, latency, failure modes, and cost tracking.
  
• Contribute to generative AI applications across text, code, and multimodal contexts.
  

Technical skills

Large Language Models (LLMs) · Generative AI · AI Agents · Coding Agents · Prompt Engineering · Retrieval-Augmented Generation (RAG) · Model Context Protocol (MCP) · Tool Harnesses · AI Workflows · Evaluations & Benchmarking · Observability · Python

Who you are

• Currently pursuing or recently completed a B.Tech / M.Tech / MS / PhD in Computer Science, AI/ML, or a related field. Candidates from premier engineering institutions (IITs, IISc, NITs, IIITs, BITS Pilani, or equivalent) are encouraged to apply.
  
• Strong Python programming skills, with clean, readable, production-aware code.
  
• Genuine curiosity about how LLMs work, and a habit of experimenting independently.
  
• Familiar with at least one LLM orchestration framework (LangChain, LlamaIndex, CrewAI, Haystack, or similar).
  
• Exposure to vector databases (Pinecone, Weaviate, Chroma, pgvector) and embedding models is a plus.
  
• Strong written communication — able to document findings and share learnings clearly.
  

Work policy

This role is full-time at our Hyderabad office. We do not offer remote or hybrid arrangements; candidates must be willing to work on-site and relocate to Hyderabad if required.