About the Role

We are looking for a passionate AI Engineer with solid expertise in Python and Agentic AI to build next-generation intelligent applications powered by Large Language Models (LLMs). You will design, develop, and deploy scalable AI agents, multi-agent systems, and production-grade Generative AI solutions using modern AI frameworks and cloud platforms.

Key Responsibilities
Design and develop AI-powered applications using Python and modern Generative AI frameworks.
Build and deploy single-agent and multi-agent AI systems for enterprise use cases.
Develop scalable RAG (Retrieval-Augmented Generation) solutions using vector databases and LLMs.
Build REST APIs and backend services using FastAPI.
Integrate AI applications with external tools, APIs, databases, and enterprise systems.
Optimize LLM performance through prompt engineering, evaluation, monitoring, and observability.
Collaborate with cross-functional teams to deliver secure, scalable, and production-ready AI solutions.
Follow best practices for testing, deployment, security, and Responsible AI.

Required Skills
5+ years of software development experience with solid proficiency in Python.
Hands-on experience with LangGraph,



LangChain, CrewAI, AutoGen, or similar agentic AI frameworks.
Strong understanding of LLMs, prompt engineering, tool calling, memory, and multi-agent orchestration.
Experience building RAG applications using vector databases such as Pinecone, Chroma, Weaviate, or Qdrant.
Hands-on experience with FastAPI and REST API development.
Knowledge of Model Context Protocol (MCP) or similar agent communication frameworks.
Experience with Git, Docker, CI/CD, and production deployment.
Strong problem-solving and debugging skills.

Good to Have Experience with one or more cloud AI platforms:
Google Cloud: Vertex AI, Gemini, Google ADK
Microsoft Azure: Azure OpenAI, Azure AI Foundry, Azure AI Search
AWS: Amazon Bedrock, Bedrock Agents, AgentCore

Additional exposure to:
Semantic Kernel
LlamaIndex
OpenTelemetry
LangSmith or Langfuse
Kubernetes
MLOps and AI observability

What We're Looking For
Solid understanding of AI agent architecture and LLM application development.
Ability to build scalable, production-ready AI solutions.

📌 Python Ai Engineer Bengaluru (India)
🏢 EPAM Systems
📍 India