AI Application Engineer (AI FDE)

You’ll build the AI that powers Raya’s companion — turning LLMs and agents into a warm, reliable, safe product experience. This is a hands-on, ship-fast, close-to-the-user role: you’ll build AI features, watch how real moms use them, and iterate relentlessly — while also pitching in on regular full-stack work across our codebase. What you’ll do ●Build LLM-powered features and agents that make our companion genuinely helpful (prompting, RAG, tool-use, orchestration) ●Design guardrails and escalation so the product stays safe, holds the non-medical line, and hands off to humans when needed ●Build evals that measure conversation quality, tone, and safety — not just correctness ●Ship AI features end to end in our Angular / NestJS / Postgres stack, from the model layer to the user-facing experience ●Iterate quickly on real usage; own AI features from prototype to production ●Handle sensitive health data responsibly (HIPAA-aware) What we’re looking for ●Required of every role — our core stack: hands-on experience with Angular, NestJS, and Postgres (or the proven ability to ramp into them quickly). Whatever your specialty, you’ll do regular full-stack work in this stack, not only your focus area. ●Hands-on experience building LLM applications (agents, RAG, prompt/context engineering, APIs) ●Ability to ship AI features end to end and contribute to general full-stack work ●A product mindset and bias to ship — you care how real users experience the AI ●Instinct for AI safety, reliability, and evaluation ●Bonus: conversational/voice AI, fine-tuning and evals, healthcare or safety-critical AI, MCP