Generative AI Engineering Intern

1 week ago

Bengaluru, Karnataka, India 7942e2b4-470b-4139-a5ab-4613357d3b60 Full time ₹ 40,00,000 - ₹ 1,20,00,000 per year

Role & responsibilities

Role Overview :

As a Generative AI Engineering Intern, you will work on:

  • 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

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