Overview We’re hiring a senior full-stack developer to build and ship a consumer app across web, iOS, and Android where LLM/AI is a core part of the product. This is not a “basic API integration” role—success requires strong experience building reliable, production-grade LLM systems (structured outputs, validation, safety guardrails, evals, and cost controls). What You’ll Deliver • Production-ready web app (responsive) • Production-ready iOS app • Production-ready Android app • Backend API + database supporting accounts, saved data, and scalable workflows • LLM/AI services layer suitable for production: • structured JSON outputs + schema validation • retries/fallbacks and safe degradation • prompt/version management • caching and token/cost controls • logging/observability for AI runs • Authentication (Apple/Google + email) • Subscriptions (Stripe and/or app store billing—recommend your approach) • Lightweight admin tools for basic configuration/content • Documentation + deployment setup (CI/CD preferred) + post-launch bug fix window Must-Have AI/LLM Experience (Required) You should have shipped at least one product where LLMs were central, and be able to demonstrate: • LLM orchestration: prompt design + tool/function calling where appropriate • Structured outputs: JSON schema enforcement, parsing, validation, and repair strategies • Reliability engineering for LLMs: • deterministic guardrails and business-rule enforcement • fallbacks when the model fails or output is low-confidence • partial regeneration / incremental updates (not always “regen everything”) • Evaluation & quality: • basic eval harness (golden test cases, regression checks) • monitoring for drift and failure modes • Safety + policy compliance: • handling uncertain outputs with confidence labeling • preventing overclaiming/unsafe advice • Cost/performance controls: • caching, chunking, rate limiting • model selection strategy (fast vs strong models) • latency targets and optimization If you don’t have this level of AI experience, this role likely isn’t a fit. Required Full-Stack Skills • 5+ years building consumer products end-to-end • Strong backend engineering: API design (REST/GraphQL), auth, background jobs/queues, caching • Database expertise (Postgres preferred), migrations, performance tuning • Mobile + web delivery: • Native iOS/Android or React Native/Flutter • Ability to produce store-ready builds and handle release processes • Testing, logging/monitoring, and secure handling of user data Nice-to-Haves • Experience with complex state syncing across devices • Experience with subscriptions at scale (Stripe + entitlement systems, or IAP) • Experience building admin dashboards (lightweight internal tools) • Experience with maps/location services (optional) What Success Looks Like • A clean, maintainable codebase with clear architecture • An LLM layer that is robust: validated outputs, observability, fallbacks, and cost controls • Smooth cross-platform experience (web + iOS + Android) with reliable data syncing • Launch-ready builds with documented deployment and handoff To Apply (Required) Start your proposal with: LLM-FIRST Failure to follow these proposal instructions will result in your proposal being declined. Please include: 1. Links to 1–3 shipped apps/products where LLMs were central (and your role) 2. A brief description of your LLM reliability approach (validation, retries, evals, monitoring, cost control) 3. Your recommended stack for web + mobile + backend and why 4. Availability (hours/week) and whether you’re solo or a team