Staff Software Engineer, Applied AI

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Applied AI based in the United States.
This role sits within a fast-moving, incubation-style AI team focused on expanding intelligent capabilities across a healthcare technology ecosystem. You will design and ship production-grade AI systems that directly impact how patients access critical medical equipment and supplies at home. The work spans applied machine learning, LLM-driven agentic workflows, and full-stack product engineering in a highly iterative environment. You will collaborate closely with product and engineering teams to identify high-impact use cases and bring AI solutions from concept to production. This is a hands-on role for someone who thrives at the intersection of AI research pragmatism and real-world software delivery. You will also help define best practices for evaluation, reliability, and observability of LLM-powered systems.


Accountabilities

• Design and build agentic LLM pipelines that power AI-driven product features across the platform, ensuring scalability and production reliability.
• Develop full-stack applications using Python (FastAPI) and TypeScript/React to support AI-enabled workflows and user-facing tools.
• Build and maintain robust evaluation frameworks, including curated datasets, automated testing, regression detection, and performance benchmarking for LLM systems.
• Iterate on prompt engineering strategies and model usage, balancing accuracy, latency, and cost considerations.
• Enhance production observability by implementing feedback loops, monitoring accuracy signals, and improving system reliability over time.
• Partner with cross-functional product and engineering teams to identify opportunities for AI integration and guide implementation strategy.
• Provide technical direction on when and how to apply AI/LLM solutions effectively to maximize impact and ...