Engineering Intern - Agentic AI

About us

EpicureAI Labs is a DPIIT-recognized startup building agentic AI products in healthcare and workforce intelligence. We're a small, senior team shipping real products as an intern here you'll build production agent pipelines, not slide decks or toy demos.

What you'll work on

You'll work directly with our CTO on multi-agent LLM systems: agents that parse real-world documents, reason over structured data, and produce validated outputs under a safety layer. Concrete work includes building and testing agent pipelines, prompt engineering with proper evaluation, retrieval (RAG) over domain data, and writing the guardrails that keep agent outputs correct and safe.

You should have

• Hands-on experience building LLM agents not just calling an API, but chaining steps, tool use, and handling failure modes
• Solid Python; comfort with FastAPI or similar for exposing agent workflows
• Practical familiarity with at least one agent/LLM framework (LangChain, LlamaIndex, or equivalent) and RAG concepts
• Enough understanding of evaluation to answer "how do you know your agent is right?" with something better than "it looked fine"
• A project, repo, or internship where you actually shipped something agent-based (link it)

Bonus

• Experience with output validation, structured extraction, or explainability (e.g., SHAP)
• Exposure to healthcare, clinical, or other high-stakes data domains
• CI/CD, testing discipline, Git fluency

Who thrives here

We're a tiny team, so we care as much about how you work as what you know. We're looking for someone who takes feedback well, asks questions when stuck instead of hiding it, documents their work so others can build on it, and is genuinely collaborative. Strong opinions are welcome; ego is not.

What you'll get

• Direct mentorship from a senior founding team
• Ownership of real features in a shipping product
• A potential pre-placement offer for those who excel