Description
Pharmaceutical companies struggle to manage massive volumes of regulatory submissions, clinical study reports, safety reports, product labeling, compliance documents, and changing global regulations. Regulatory teams spend countless hours reviewing documents, identifying policy changes, verifying compliance requirements, and preparing submissions across multiple health authorities. Manual review increases operational costs, delays approvals, and creates compliance risks. We are looking for a Senior AI Python Engineer to build an Enterprise Regulatory Intelligence Platform that uses AI to automate regulatory document understanding, identify compliance risks, track regulation changes, and assist regulatory affairs teams with intelligent document analysis. This is not a chatbot project. We need a production-grade enterprise platform that improves regulatory workflows while maintaining complete auditability and explainable AI outputs. Core Responsibilities Build scalable Python/FastAPI backend services. Develop AI-powered document ingestion and processing pipelines. Implement semantic search using vector databases. Automate compliance validation and regulatory change detection. Generate AI-powered summaries and document comparisons. Build approval workflows, RBAC, and audit logging. Integrate enterprise APIs and deploy with Docker. Core Technologies Python, FastAPI, PostgreSQL, Redis, Docker, AWS, LangChain/LangGraph, OpenAI API, Vector Databases (pgvector/Pinecone/Qdrant), Elast