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About the role
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-powered applications. The ideal candidate has solid Python engineering fundamentals 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 solid emphasis on building scalable, secure, and well-governed LLM-based solutions. Key Responsibilities Design and develop AI/ML and AI-powered applications using Python, with FastAPI as the 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 solid 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 hall .
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