Role & responsibilities -

Design, architect, and develop scalable Generative AI applications and agentic solutions
Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies.
Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products.
Implement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflows.
Engineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experience.
Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories.

Must Have





5+ years of overall software engineering experience.
3+ years of hands-on experience building applications using Generative AI and LLM technologies.
Solid proficiency in Python and experience developing production-ready applications.
Hands-on experience with LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility.
Strong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or Flask.

Preferred candidate profile

Python+GENAI/AgenticAI

📌 Python AI Developer (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad