Senior Software Engineer—AI Product & Platform Engineering

AAPC is the world’s largest and fastest-growing healthcare training, certification, and solutions association. They are seeking a Senior Software Engineer to build AI-powered products that enhance customer workflows and develop an internal AI engineering platform for improved outcomes.

Responsibilities:

• Ship end-to-end product increments (spec → build → release → operate)
• Use the right tool for the job; our current default is a modern TypeScript + React full-stack (server rendering, RSC-style patterns, streaming), and we stay flexible as we learn
• Build AI features with disciplined patterns: tool calling, structured outputs, grounding, and streaming UI
• Partner with product, design, and SMEs to define outcomes, validate assumptions, and iterate quickly
• Turn lessons from shipped features into reusable "paved road" primitives (eval harnesses, guardrails, shared tool/prompt patterns)
• Build evaluation + release loops (tests, golden datasets, regressions, targeted human review; LLM grading where it fits)
• Own reliability, performance, and cost; instrument with OpenTelemetry and define SLOs for key flows
• Enforce security and privacy by design (safe tool access, authZ, auditability, prompt-injection mitigations, PII handling)

Requirements:

• Senior-level TypeScript + React experience in production systems
• Experience building React full-stack apps (routing, server rendering, server components/actions, backend-for-frontend patterns)
• Async + streaming experience (SSE/streams; cancellation/backpressure awareness)
• Comfortable on macOS and Linux; fluent with CLI for local dev, debugging, automation, and as an API
• Strong Git discipline (PR workflows, code reviews, conventional commits, clean commits) and ability to raise the bar through review
• Strong testing discipline and ability to build testable abstractions
• Strong API integration experience; ability to ship, measure, and iterate in ambiguity
• Experience with the Vercel AI SDK (Core + UI) for streaming experiences, tool calling, and chat UX patterns
• LLM integration experience (OpenAI/Anthropic/Bedrock or similar) with tool calling / structured outputs
• Experience building internal platform primitives with real adoption (SDKs, shared libraries, paved roads)
• Experience with AI evaluation frameworks and regression testing for model outputs
• Experience with API design and an intuition for observability and/or security depth for AI systems