Conexess Group is aiding a large healthcare client in their search for a Senior Full Stack Engineer in a remote capacity. This is a direct hire opportunity with a competitive compensation package. Please note we are unable to provide sponsorship or work c2c for this role.ResponsibilitiesShip a production-ready web application on Next.js/VercelShip production-ready iOS and Android apps with React Native/ExpoDeliver AI functionality as a primary product capability, not a future add-onIntegrate with Athena, Postgres/Neon, dbt, Snowflake, and selected Azure servicesStand up and govern the team's SDLC, release process, security controls, and observabilityThis is not a generic full-stack role. It is a hands‑on product engineering lead role with direct responsibility for delivery quality, AI architecture, release readiness, and post‑launch maintainability.Use Vercel AI Gateway to control provider access, budgets, monitoring, fallbacks, and request‑level data handlingDecide when to use gateway‑managed routing, when to use BYOK, and when to keep a sensitive workflow on a restricted provider pathBuild AI flows that are safe for patient‑facing use cases, including guardrails around sensitive content, escalation, and overconfidenceTreat AI quality and safety as an engineering discipline, not an experimental side‑projectCore TechnologiesWeb: Next.js on VercelMobile: React Native + Expo + Expo Router + EAS Build / EAS SubmitAI: Vercel AI Gateway first, with selective use of direct/provider‑hosted models where governance or enterprise agreements require itBackend: Vercel server‑side execution patterns with TypeScript APIs and business logicDatabase: Postgres on Neon, with serverless‑safe connection strategyIntegrations: Athena / FHIR / OAuth‑secured healthcare workflows, data flows into dbt and Snowflake, and selective Azure servicesRequirements6+ years of professional software engineering experience in product environmentsStrong production experience with Next.js on VercelStrong production experience with React Native + ExpoMust have personally supported submission to Apple App Store and Google PlayMust have shipped at least one user‑facing AI feature in productionMust be comfortable using Vercel AI Gateway or a comparable gateway/orchestration layerMust understand streaming, tool calling, structured outputs, and human fallback patternsMust be able to stand up prompt/version control, regression testing, quality review, and failure analysisMust be able to design AI experiences that work well on mobile and webMust know how to evaluate vendors and features for BAA availability, retention, logging, geography, and stateful storageMust know how to separate PHI‑sensitive flows from lower‑risk flows and minimize data sent to models when full PHI is unnecessaryMust be able to own APIs, auth flows, server‑side business logic, and integration boundariesMust know how to share code where it helps and split code where it protects UX and velocityMust have owned delivery of at least one consumer‑grade or patient‑facing product releaseMust be willing and able to serve as a hands‑on lead builder, not only a coordinator or managerStrongly PreferredDirect experience with patient‑facing healthcare applicationsDirect experience with Athena, FHIR, or SMART on FHIRHands‑on use of Vercel AI GatewayExperience with Azure‑hosted model deployments or tightly controlled enterprise model routingExperience with Turborepo / monorepo setups spanning Next.js and ExpoExperience implementing accessibility expectations consistent with WCAG 2.2Familiarity with OWASP ASVS, OWASP MASVS, or equivalent practical app‑security baselinesExperience implementing AI evaluation pipelines, prompt registries, and staged rollouts#J-18808-Ljbffr