Senior Python Engineer (AI, ML & Agentic AI)

Location: Indore

Experience: 5+ Years

About the Role

We're looking for a Senior AI/ML Engineer to design, build, and deploy production-grade AI

combined with hands-on expertise in AI/ML, Generative AI, LLM frameworks, RAG pipelines,

and AI agent systems. This role is primarily AI/ML focused, with a robust emphasis on

building scalable, secure, and well-governed LLM-based solutions.

Key Responsibilities

primary framework (Django and Flask also used)
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs,

embeddings, and vector databases
Design and execute evaluation frameworks for single-agent and multi-agent systems to

measure task completion, reasoning quality, tool usage, and workflow efficiency.
Develop GenAI solutions using LangChain, LangGraph, LlamaIndex
Build AI agents and multi-agent workflows for business process automation
Implement prompt engineering, retrieval evaluation, and hallucination reduction techniques




Design and enforce LLM guardrails and governance frameworks (content filtering, output

validation, safety policies, compliance, and audit logging)
Build REST APIs and microservices to integrate AI/ML components with backend systems
Deploy AI/ML services using AWS or GCP services, Docker, Kubernetes, and CI/CD

pipelines
Work with cloud AI platforms: AWS Bedrock, GCP Vertex AI, Azure OpenAI, or OpenAI

APIs
Monitor AI/ML model performance, cost, latency, and accuracy in production environments

Required Skills:
5+ years of robust hands-on Python development experience
Practical experience with Django, Django REST Framework, FastAPI, or Flask
Solid understanding of AI/ML, Generative AI, LLMs, embeddings, RAG, and semantic

search
Hands-on experience with prompt engineering, RAG evaluation, re-ranking, and

hallucination handling
Experience implementing LLM guardrails and governance frameworks (safety, compliance,

monitoring, and risk controls

📌 Python Full Stack Developer Indore
🏢 Gammastack
📍 Indore