Builds and maintains integrations between internal systems, third-party APIs, and AI/ML services, designs automation workflows (data pipelines, scheduled jobs, event-driven triggers), and develops full-stack product features from frontend to database. Core stack: Python or Node.js backend, React or Vue frontend, and SQL, with Git and CI/CD.
Develop full stack product features - frontend to API to database - with a focus on reliability and clean system boundaries
Qualifications (purposefully light)
BS in Engineering or Computer Science
Comfortable across the stack: backend language (Python, Node.js, or similar), frontend framework (React, Vue, etc.), and SQL
Experience connecting systems via REST APIs, webhooks, or message queues
Systematic, structured thought process
Familiarity with Git and basic CI/CD concepts and how AI‑powered browser automation works
Phone Screen Criteria
2 hard requirements to screen for when meeting them: Have they built and maintained production integrations where multiple systems depend on each other, and had to handle what happens when things break? Please capture experiences with real multi‑system wiring (APIs, databases, third‑party services) and the complexity of their failure handling. Integration pain (retries, data consistency, timeouts, race conditions) takes precedence over standalone app experience.
We need someone who has lived the messy reality of systems that depend on each other. How are they currently using AI coding tools, and what was their experience when they noticed a weakness and how did they go about it? Please screen for lack of excitement and very generic, vague answers.
Integration and automation work is disproportionately boilerplate and API wiring - exactly where AI tools provide the biggest lift. We need someone who leans into this.