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Junior AI Engineer, Clients

100% Remote Full-time Open now

Job Description:

  • 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

Requirements:

  • 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

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