Sr. Full Stack Engineer (Remote)

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. Responsibilities Ship a production-ready web application on Next.js/Vercel Ship production-ready iOS and Android apps with React Native/Expo Deliver AI functionality as a primary product capability, not a future add-on Integrate with Athena, Postgres/Neon, dbt, Snowflake, and selected Azure services Stand up and govern the team’s SDLC, release process, security controls, and observability This 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 handling Decide when to use gateway‑managed routing, when to use BYOK, and when to keep a sensitive workflow on a restricted provider path Build AI flows that are safe for patient‑facing use cases, including guardrails around sensitive content, escalation, and overconfidence Treat AI quality and safety as an engineering discipline, not an experimental side‑project Core Technologies Web: Next.js on Vercel Mobile: React Native + Expo + Expo Router + EAS Build / EAS Submit AI: Vercel AI Gateway first, with selective use of direct/provider‑hosted models where governance or enterprise agreements require it Backend: Vercel server‑side execution patterns with TypeScript APIs and business logic Database: Postgres on Neon, with serverless‑safe connection strategy Integrations: Athena / FHIR / OAuth‑secured healthcare workflows, data flows into dbt and Snowflake, and selective Azure services Requirements 6+ years of professional software engineering experience in product environments Strong production experience with Next.js on Vercel Strong production experience with React Native + Expo Must have personally supported submission to Apple App Store and Google Play Must have shipped at least one user‑facing AI feature in production Must be comfortable using Vercel AI Gateway or a comparable gateway/orchestration layer Must understand streaming, tool calling, structured outputs, and human fallback patterns Must be able to stand up prompt/version control, regression testing, quality review, and failure analysis Must be able to design AI experiences that work well on mobile and web Must know how to evaluate vendors and features for BAA availability, retention, logging, geography, and stateful storage Must know how to separate PHI‑sensitive flows from lower‑risk flows and minimize data sent to models when full PHI is unnecessary Must be able to own APIs, auth flows, server‑side business logic, and integration boundaries Must know how to share code where it helps and split code where it protects UX and velocity Must have owned delivery of at least one consumer‑grade or patient‑facing product release Must be willing and able to serve as a hands‑on lead builder, not only a coordinator or manager Strongly Preferred Direct experience with patient‑facing healthcare applications Direct experience with Athena, FHIR, or SMART on FHIR Hands‑on use of Vercel AI Gateway Experience with Azure‑hosted model deployments or tightly controlled enterprise model routing Experience with Turborepo / monorepo setups spanning Next.js and Expo Experience implementing accessibility expectations consistent with WCAG 2.2 Familiarity with OWASP ASVS, OWASP MASVS, or equivalent practical app‑security baselines Experience implementing AI evaluation pipelines, prompt registries, and staged rollouts #J-18808-Ljbffr