Senior AI Platform Engineer
First seen by Alion on Nov 11, 2026.
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