> Markdown version of [/jobs/ext/4607203-fullstack-engineer](https://www.wearedevelopers.com/jobs/ext/4607203-fullstack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Fullstack Engineer - **Company:** Scion Staffing, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $160,000.0 - $180,000.0 - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Distributed Systems, PostgreSQL, Node.Js, OAuth, Redis, Systems Integration, TypeScript, AI Infrastructure, Backend, Virtual Agents, Webhooks, Data Pipelines - **Published:** November 6, 2026 - **Apply:** https://scionstaffing.com/apply-with-scion-staffing/ ## About the Role * 3-6+ years building and operating production software * Strong backend skills with the ability to ship across the full stack * Production TypeScript and Node.js or Bun * Strong PostgreSQL; experience with Redis, job queues, background workers, or -workflow systems * APIs, integrations, webhooks, and data pipelines for production-grade, multi-tenant software * Familiarity with observability, distributed systems, and agent-evaluation concepts ## Description Our client is seeking a backend-learning full-stack engineer to own features end-to-end. Will help build and scale enterprise-grade infrastructure powering AI-driven applications. In this role you will design and own complex, multi-tenant backend system, develop reliable integrations with external platforms, and ensure services remain scalable, observable and resilient in production., * Own products end-to-end with meaningful influence over architecture, technical direction, and customer outcomes. * Work directly with enterprise customers, turning complex real-world challenges into scalable product capabilities. * Accelerate your growth by collaborating closely with experienced engineers in a fast-paced, high accountability environment., * Build the backend systems powering the agent-evaluation and continuous-improvement platform * Improve the data models behind evaluation datasets, experiment runs, agent traces, - knowledge versions, findings, and customer-defined quality criteria * Own enterprise integrations across their full lifecycle: auth, OAuth, webhooks, incremental syncs, backfills, rate limits, schema changes, retries, monitoring, and production support * Own features from technical design and implementation through deployment, monitoring, customer feedback, and iteration * Work directly with customers when needed - understand their systems, diagnose failures, and turn one-off requirements into reusable product capabilities