Generative AI Engineering Intern

Role & responsibilities

Role Overview :

Generative AI Engineering Intern

• Designing and developing autonomous AI agents
• Implementing large-scale reasoning and tool-use pipelines
• Building backend systems powering agent orchestration
• Working with cutting-edge models (OpenAI, Gemini, Anthropic)
• Using frameworks like LangGraph, LangChain, FastAPI, and vector DBs

This internship is ideal for someone who wants real, production-level experience in building agentic systems.

Key Responsibilities

• Build and deploy AI agents capable of multi-step reasoning and execution
• Implement LLM orchestration (RAG, tools, functions, memory)
• Develop backend services using

  Python, FastAPI, MongoDB

• Integrate latest LLM APIs and optimize workflows
• Collaborate with engineers on agent architecture and tooling

Preferred candidate profile

Education

• B.Tech / B.E. in CSE, IT, ECE, AI/ML, Data Science (or currently pursuing final year)
• Diploma / BCA / MCA candidates with strong AI skills are also welcome
• Self-taught developers with strong GitHub projects are highly encouraged

Experience

• 01 year experience (Freshers welcome)
• Prior internship or personal projects in AI/ML, LLMs, or backend development preferred

Technical Skills

• Strong Python programming
• Familiarity with LLM frameworks:

  LangChain, LangGraph

  (preferred)
• Understanding of

  RAG, embeddings, vector databases

• Basic knowledge of

  FastAPI, REST APIs, MongoDB

• Solid understanding of data structures, APIs, Git, and Linux
• Bonus: knowledge of OpenAI, Gemini, Anthropic APIs

Attributes

• Strong problem-solving and debugging ability
• Eagerness to learn frontier AI technologies
• Ability to work in a fast-paced, startup environment
• Ownership mindset with clear communication

Preferred

• Candidates with GitHub repos demonstrating AI agents, ML pipelines, or backend projects
• Students passionate about agentic AI, automation, and LLM architecture
• People who want a PPO and long-term growth in AI engineering