Senior AI Engineer for a US-based client, driving GenAI innovation in tax, auditing, and risk management. Develop scalable back-end services with FastAPI and cloud infrastructure. Long-term remote contract requiring US time zone overlap (2-6 PM CET).
Responsibilities
Develop and maintain scalable back-end services using FastAPI.
Ensure seamless integration with front-end and external services via RESTful APIs.
Leverage cloud infrastructure (Azure Functions, Azure Storage) for hosting and scaling.
Implement security best practices for API authentication (OAuth, JWT) and data protection.
Work on GenAI-driven applications using LangChain, LlamaIndex, vector databases, and agentic frameworks.
Containerize applications with Docker.
Requirements
Expertise in Python for back-end development.
Experience with FastAPI, Pandas, and NumPy.
Experience with Retrieval Augmented Generation (RAG).
Proficiency in Prompt Engineering.
Experience with MCP/FastMCP.
Knowledge of vector databases and embedding models.
Familiarity with LangChain, LangGraph, and LlamaIndex.