infinity-constellation - Junior AI Engineer (Clients) - Supernal

• Design and build backend and platform features (APIs, services, integrations, and data flows) • Own scoped projects end-to-end: requirements clarification, implementation, testing, rollout, and follow-through • Write automated tests — unit tests for isolated logic and integration tests for system behavior • Apply solid engineering fundamentals: error handling, retries/backoff where appropriate, and clear interfaces between components • Debug production issues using logs/metrics/traces; drive issues to resolution and add safeguards to prevent recurrence • Improve reliability and maintainability through refactors, performance improvements, and better observability • Communicate progress, tradeoffs, and risks clearly to engineering and cross-functional partners • Contribute to team standards: code review, documentation, and best practices that keep builds predictable and supportable • You Might Be a Fit If You... • Have 2 to 4 years of experience as a software engineer shipping production systems • Have built and maintained backend services and APIs in a production codebase • Are comfortable with integrations: third-party APIs, webhooks, auth patterns (OAuth / API keys), and data modeling • Write automated tests as a matter of course and treat testing as part of shipping, not an afterthought • Apply strong fundamentals: clean architecture, separation of concerns, and pragmatic tradeoffs • Can take ownership of a scoped problem and drive it to completion with minimal hand-holding • Are a solid debugger who can reason through edge cases and production failures • Communicate clearly and fluently in English — both in writing and verbally — especially when articulating tradeoffs and implementation choices • Provide your own laptop with reliable internet and be willing to work primarily in Americas time zones • Thrive in fast-paced, ambiguous environments and take ownership without being asked • Bring a low-ego, high-integrity approach to collaboration • What Success Looks Like • Customer-facing workflows and internal platform systems ship on time and perform reliably in production • Scoped projects are delivered end-to-end with good engineering discipline: clear scope, solid implementation, tests, and safe rollouts • Production issues are diagnosed quickly, resolved thoroughly, and followed up with lasting fixes (tests, alerts, runbooks) • Code is well-tested, well-documented, and maintainable — not just functional • Technical decisions and tradeoffs are communicated proactively, with risks surfaced early • Team quality improves over time via thoughtful reviews, refactors, and shared standards