Sr Associate_Python_GCC_Advisory

Job Description Summary


Responsibilities

• Design, develop, and maintain scalable Python backend services and REST APIs using FastAPI to power advanced agentic AI features and workflows
• Architect and implement LLM-based agent systems utilizing LangChain framework and Model Context Protocol (MCP) to create intelligent, context-aware applications
• Build robust data models and optimize complex SQL queries in PostgreSQL databases, ensuring efficient data storage and retrieval for AI-driven applications
• Integrate frontend React components with backend services using JavaScript/TypeScript, creating seamless user experiences for AI-powered features
• Implement comprehensive application security, authentication, caching strategies, error handling, and logging mechanisms following industry best practices
• Deploy, monitor, and troubleshoot production services on Linux environments, ensuring high availability and optimal performance of AI systems
• Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on agentic AI capabilities and intelligent automation
• Maintain code quality through version control with Git, conduct code reviews, and implement testing strategies to ensure reliable software delivery

Requirements

• Must-have: 4-8 years in production software, strong Python, FastAPI, and solid REST API design
• LLM framework experience (LangChain)
• PostgreSQL and strong SQL
• React + JavaScript/TypeScript
• Git, Linux CLI, basic network debugging
• Nice-to-have: RAG fundamentals + vector DBs (pgvector, Qdrant, Pinecone)
• MCP and tool-calling agent design
• Async Python, streaming (SSE/websockets)
• Docker, CI/CD, cloud (Azure/AWS/GCP)

Education


Required Skills

• Generative AI

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