Full-Stack/Product Engineer, MVP and Platforms (Freelance)

A growing part of our pipeline isn't websites — it's products. Clients come to us with a working prototype (often AI-generated), a locked UX and a launch date, and need someone to take it to production: web apps, mobile apps, multi-tenant platforms, admin panels, AI-assisted features. You'll be the engineering counterpart to our design team on these projects — scoping, architecting, building and shipping.

• Take products from prototype/MVP to production: two-sided platforms, patient and provider portals, marketplaces, membership platforms
• Build backends: REST/GraphQL APIs, auth and roles, multi-tenancy, payments and subscriptions, file and document storage, notifications
• Build admin and CRM panels: user management, analytics, GDPR data deletion, crash reporting, invoicing
• Integrate third-party systems: hardware and device APIs and webhooks, payment providers, CRMs, analytics warehouses (Snowflake, Tableau)
• Build AI features into products: LLM APIs, assistants scoped to product data, orchestration, guardrails
• Debug and harden inherited codebases — several clients arrive with API and webhook bugs from previous contractors or vibe-coded prototypes
• Ship cross-platform mobile apps and handle App Store and Google Play submission
• Scope work and produce hours-based estimates with a breakdown by phase and risk

• 5+ years full-stack, with production ownership rather than just feature work
• Backend: Node.js/TypeScript or Python — APIs, auth, background jobs, webhooks
• Frontend: React (Next.js a plus)
• Databases: relational schema design, PostgreSQL or similar. Supabase or Firebase welcome
• Payments and subscriptions in production (Stripe or equivalent)
• Deployment and infra basics: CI/CD, environments, monitoring, logging
• At least one product taken from zero to live users
• AI as a core part of your toolkit — in two directions. First, how you build: Claude Code (or equivalent agentic tooling) for scaffolding services, refactoring, test generation, and rapidly assembling working prototypes to pressure-test an architecture before committing to it. Second, what you build: hands-on experience integrating LLM APIs into a product — prompt design, structured output, tool use, evaluation, cost and latency control. You should also be able to audit an AI-generated codebase and honestly assess what's salvageable, since a growing share of our clients arrive with exactly that.
• English B2 or higher — you'll present the technical approach on client calls
• Ability to break a brief into a phased estimate with hours and risks
• You give honest estimates and flag when a client's budget doesn't match the scope — plenty of our leads arrive with a 250-hour budget for a 500-hour product
• Comfortable talking to non-technical founders and translating business logic into architecture
• You can run technical discovery: ask the right questions, produce a scoped plan