Pls post CV on mob (phone hidden). experience 3 years
Design and ship agentic automation workflows using LLMs and frameworks like LangChain/LangGraph, reliably, not just in a demo

Build and maintain RAG pipelines : ingestion, retrieval, grounding, so answers are accurate and traceable to source

Connect models, data, and applications into systems that hold up under real usage, not just a happy path

Build the evals that catch regressions and errors before they ship

Build internal tools that measurably save the teams time and improve performance

Track the AI landscape and bring back whats actually worth adopting, not just whats trending
What You Bring

2 3 years writing production-quality Python for AI/ML applications

Real experience with LLMs, RAG, or agentic systems :



shipped, not just studied

Solid grasp of APIs, integrations, and deployment philosophies (Cloud/Docker/Terraform a plus)

Comfortable with SQL and messy real-world data

You can reason about cost, latency, and failure modes : not just whether it works once
Youll Fit In If

You dont wait to be told whats next : you spot the gap and go build it

You own bugs as much as wins

You can explain a technical decision to someone who isnt technical, in one sentence

You think about whats worth building and why before you touch the keyboard

📌 AI /ML engineer (Mumbai)
🏢 Velocitytechitservices
📍 Mumbai