AI Engineering Intern

About the role

As an AI Engineering Intern youll 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 youll 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 / / 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.