Associate- AI Data Engineer(Retail)

About the role

A Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field is preferred 2–4 years of experience in AI engineering, software development, and building and deploying production AI systems. Experience developing LLM-powered applications and retrieval-augmented generation (RAG) pipelines with vector databases and embedding-based retrieval.

What you'll do

• Design, build, and deploy agentic AI systems and LLM-powered applications that automate complex analytical and business workflows for Retail clients
• Develop and orchestrate multi-agent workflows using frameworks such as LangGraph, LangChain, and the Azure AI Agent Service—integrating tools, memory, and reasoning loops
• Build and optimize retrieval-augmented generation (RAG) pipelines, combining vector search with Neo4j knowledge graphs and graph databases
• Engineer, evaluate, and fine-tune prompts and LLMs, implementing guardrails, evaluation harnesses, and human-in-the-loop feedback for accuracy and safety
• Develop backend APIs and services (Python, FastAPI) to serve AI models and agents into production applications

What you need

• 2–4 yrs of experience
• SQL
• Python
• Pandas
• LLMs
• AWS
• Spark
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Next.js
• React
• Azure
• Git
• FastAPI
• CI/CD