Python AI Engineer

About the Role

We are looking for a passionate AI Engineer with strong 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 strong 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

• Strong understanding of AI agent architecture and LLM application development.
• Ability to build scalable, production-ready AI solutions.