Overview

Senior Python Engineer (AI, ML & Agentic AI)

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

Qualifications

• 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.
• 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 .