LLM / RAG Pipeline Developer

Location : Max Healthcare, Gurgaon Head Office

Employment Type : Full-time

Experience : 2–4 years

Role Overview

We are looking for an AI Engineer with strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AWS cloud infrastructure. The candidate will architect, develop, and deploy AI agents and RAG pipelines, integrate vectorized knowledge bases, and build scalable applications leveraging Python, React, and containerized AWS services.

Responsibilities

• Build and optimise RAG workflows with vector databases and embeddings.
• Fine-tune, prompt-engineer, and deploy LLMs (Bedrock, GPT, Llama, Claude, etc.) for domain-specific production workloads.
• Develop Python backend services (APIs, orchestration) and React UIs for AI-powered apps.
• Deploy and manage AI workloads on AWS (EKS / ECS, Aurora Postgres, OpenSearch pgvector, SQS, Lambda, Elastic Cache, Secrets Manager).
• Implement guardrails, monitoring, and evaluation for safe and reliable AI agents.
• Collaborate with product and infra teams to ensure scalability, performance, and compliance.

Skills & Experience

Must to Have