Senior AI Developer – Develop a Secure Financial Agent (AWS/OpenAI)

We are seeking a developer to build a standalone SaaS platform that utilises a custom AI agent to perform quantitative financial analysis. The agent will interpret proprietary IP (legal/regulatory texts) and apply specific logic (currently in Python/Excel) to user data. Key Responsibilities: Architecture: Build a secure, serverless backend on AWS (Lambda, S3, API Gateway). AI/RAG: Implement a Retrieval-Augmented Generation (RAG) system using Amazon Bedrock or Azure OpenAI with high-accuracy "Chapter and Verse" citations. Logic Integration: Integrate existing proprietary Python/Excel calculation logic into the agent's workflow using Tool-Use/Function Calling. Security: Implement data masking, VPC isolation, and AWS Guardrails to protect proprietary IP and user privacy. UI/UX: Develop a professional, full-screen dashboard (using Next.js or Streamlit) with data visualisation and an Audit/Admin Dashboard for human-in-the-loop review. Required Skills: Proven experience with LLM Orchestration (LangChain, LangGraph, or Bedrock AgentCore). Deep understanding of Vector Databases and semantic search. Strong background in Python and financial/quantitative software development. Experience with Stripe API and AWS Cognito for SaaS billing and auth. Preferred: Experience in the financial services or legal tech sectors.