AI Intern Engineer - IIT,NIT,IIIT & BITS

Key Responsibilities

● Build & Ship LLM Agents: Build LLM-powered agents and pipelines that real users depend on, taking them from prototype to production.

● Evaluations: Define what “good” looks like, build evaluations to measure it, and improve quality using

data instead of guesswork.

● Python, Prompts & Retrieval: Work across Python services, prompts, tools, retrieval, and the data that feeds them.

● Monitoring & Iteration: Track failures in production through logs and traces, debug issues, and keep cost and latency in check after launch.

● Collaboration: Partner with founders, product, and ops teams to understand real problems, turn them

into working solutions, and explain trade-offs clearly.

● End-to-End Ownership: Spot what’s broken, propose the fix, and ship it without waiting to be told.

Requirements

● Strong Python & LLM Fundamentals: Solid Python skills and a good grasp of how LLMs behave: prompting, tool

use, structured outputs, and cost and latency trade-offs. Hands-on experience with at least one LLM API

(OpenAI, Anthropic, etc.), plus working knowledge of SQL, APIs, and Git.

● Proof of Work: Something real you’ve shipped, beyond a RAG demo or an agent tutorial, ideally used by

people, with problems you had to debug. Share a GitHub link, a deployed project, or a short write-up.

● Ownership & Proactiveness: A self-starter who finds the next problem without being told, asks sharp questions, and backs opinions with evidence.

● Comfort with Ambiguity: Prefers testing an idea today over debating it for a week, and is comfortable iterating fast with incomplete information.

● Communication: Ability to explain technical decisions, failures, and trade-offs clearly to non-technical

teammates.

Good to Have

● Experience with evaluations (including LLM-as-judge setups), agents in production, or data pipelines

● Exposure to vector databases or retrieval tuning

● Experience in a startup or early-stage environment

Sector 6, HSR Layout, Bengaluru, Karnataka 560068

11 am to 8 pm. Onsite (Monday to Friday, from office) and Virtual (Saturday)

Education

Graduate/Post Graduation 2026, from IIT, NIT, IIIT, BITS, or equivalent Tier 1 institutes.

0-1 years