Senior AI Platform Engineer

We are looking for a Senior AI Platform Engineer to join a project focused on building an AI-powered decision platform for pharmaceutical commercial teams. The platform is being developed for a US healthcare data and analytics company. It uses pharmacy, payer, patient, and clinical data to generate AI-driven insights and recommendations, explain decisions, and track their outcomes.

You will work alongside other engineers to build and develop the platform, implement LLM-based solutions and agentic workflows, and integrate AI capabilities with the client's existing systems.

What We're Looking For:

• 5+ years of commercial software engineering experience, with at least 2 years focused on building and deploying LLM applications in production (RAG, tool calling, structured outputs)
• Strong Python backend development skills, including event-driven services and APIs on AWS
• Experience developing agentic workflows using LangGraph, LangChain, or similar frameworks
• Understanding of multi-step agent workflows and human-in-the-loop processes
• Experience with LLM APIs and managed AI platforms, preferably Amazon Bedrock
• Experience with LLMOps: evaluation, tracing, observability, and prompt versioning
• Ability to track and document the sources and reasoning behind AI-generated recommendations
• Experience with Document AI and extracting structured data from contracts, specifications, and notes
• Knowledge of graph queries and graph-based data structures
• Upper-Intermediate English or higher (B2+)

Your Responsibilities:

• Design, develop, and maintain LLM-powered applications and AI agent workflows
• Build and improve RAG pipelines, tool integrations, and structured output processes
• Develop Python backend services and API integrations on AWS
• Implement document processing, data extraction, and validation workflows
• Build mechanisms for AI evaluation, monitoring, and traceability
• Ensure AI-generated recommendations are supported by relevant sources and reasoning
• Implement human-in-the-loop workflows to support reliable AI decision-making
• Collaborate with engineers and product stakeholders to deliver and improve platform capabilities

Will Be a Plus:

• Experience in Pharma, Healthcare, or Life Sciences
• Experience building AI solutions in regulated environments
• Understanding of healthcare data standards and interoperability