Full Stack AI Engineer

Description
Full Stack AI Engineer
Role Summary
You'll join the core engineering team and build across the full stack: infrastructure, backend, web and iOS. You should be comfortable with prompt engineering and LLM evaluation, since both are part of shipping features on this platform.

Key Responsibilities
Build Python services and APIs for sessions, personas, users and scoring
Ship features in the web app and the native iOS app
Own Kubernetes infrastructure, CI/CD pipelines, logging and monitoring
Wire in LLMs and voice providers, with every model call logged for cost, latency and quality
Build audit logging, role based access, tenant isolation and SSO for regulated customers
Use AI coding tools as part of daily development
Partner with product, design and the AI team
Required Qualifications
5+ years building and shipping production software
Production experience across backend, frontend and infrastructure
Strong Python, plus TypeScript and a modern web framework
Working experience with Swift and iOS development
SQL and NoSQL database design
Experience with Docker, Kubernetes, CI/CD and at least one major cloud (AWS preferred)
Identity and access standards, including OAuth, OpenID Connect and SAML
Built and shipped at least one LLM powered feature to production
Comfortable making design decisions with minimal guidance
Strong testing and documentation habits
Preferred Qualifications
Pharma, life sciences, healthcare, banking or another regulated industry
Products built under SOC 2, ISO 27001 or HIPAA
Realtime voice work (WebRTC, Deepgram, ElevenLabs or similar)
RAG, hybrid search or LLM evaluation
Apple's on device Foundation Models