The Role
Build and harden a TypeScript full‑stack product: implement an AI pipeline agent, multi‑tenant auth and RBAC, DB migrations and staging, production hardening (rate limits, secrets, IAM), CI and test coverage, and mentor a junior engineer while improving codebase structure and shipping features.
Summary Generated by Built In
About the role
We are looking for a Senior Full-Stack Developer to help build and harden a TypeScript, front-to-back product built on Next.js 15, React 19, and an AI pipeline powered by Anthropic Claude.
This is a hands-on, high-ownership role on a small team. The near-term roadmap is concrete and already scoped: you won't be inventing directions from scratch, you'll be shipping well-defined systems and leveling up the codebase as you go.
Key Responsibilities- Build the final pipeline agent (the certification builder), including schema design, LLM prompt and output design, and a review and approval workflow
- Own multi-tenant readiness: role-based access control, a membership model, email invitations, and self-serve workspace provisioning
- Bring database maturity to the project: adopt a formal migration workflow and separate staging from production data
- Lead production hardening: rate limiting and usage budgets for AI endpoints, a cloud IAM and security review, secrets and environment hygiene, and error observability
- Set up engineering process: a CI pipeline and broader test coverage
- Improve the structure of a fast-grown codebase while continuing to ship features
- Make build-vs-buy calls, write specs, and mentor a junior engineer
- Deep TypeScript and modern React/Next.js experience (App Router, Server Components, Server Actions)
- Production SaaS backend experience: multi-tenant data models, role and permission systems, and auth flows (OAuth, JWT sessions)
- Relational database maturity: Postgres with an ORM (Prisma preferred), a sound migration strategy, and safe schema changes on a live database
- Distributed-systems fundamentals in a serverless world: queues, webhooks, idempotency, retries and backoff, timeouts
- LLM product engineering experience: prompt design, structured and validated outputs, awareness of token costs, and graceful degradation when a model or data source fails
- Security instincts: able to run a cloud IAM review (GCP or equivalent), reason about tenant isolation across data, storage, and real-time layers, and know where rate limiting and secrets hygiene belong
- Strong judgment and comfort being the most senior engineer on the project
- Strong async communication: clear technical questions, documented decisions, and self-surfaced blockers
- Real-time collaboration experience (Yjs, Liveblocks, or ProseMirror/Tiptap internals)
- Google Cloud specifics: Cloud Run, workload identity federation, GCS signed URLs
- Experience taking an early-stage product to its first paying customers
Skills Required
- Deep TypeScript and modern React/Next.js experience (App Router, Server Components, Server Actions)
- Production SaaS backend experience: multi-tenant data models, role and permission systems, auth flows
- OAuth and JWT session implementation
- Relational database experience: Postgres with an ORM and sound migration strategy
- Prisma (ORM) experience
- Distributed-systems fundamentals in a serverless context: queues, webhooks, idempotency, retries/backoff, timeouts
- LLM product engineering: prompt design, structured/validated outputs, token-cost awareness, graceful degradation
- Security instincts: cloud IAM review (GCP or equivalent), tenant isolation, rate limiting, secrets hygiene
- Strong judgment and comfort being the most senior engineer on the project
- Strong asynchronous communication: clear technical questions, documented decisions, self-surfaced blockers
- Real-time collaboration experience (Yjs, Liveblocks, or ProseMirror/Tiptap internals)
- Google Cloud specifics: Cloud Run, workload identity federation, GCS signed URLs
- Experience taking an early-stage product to first paying customers
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The Company
What We Do
Productiv Team is an IT services and consulting partnership that acts as a strategic technology partner for consulting, data and artificial intelligence, software development, and expert staff augmentation. Through nearshoring, it designs, sources, and manages complete engineering teams from talent networks in Eastern Europe, Latin America, and Canada, helping clients extend internal capabilities with aligned time zones and faster hiring.
