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Junior AI Engineer (Clients) - Supernal

Infinity • Full-time • Remote (New York, New York, United States) • 17h ago

Title: Junior AI Engineer (Client)

Location: Remote (Global)

Reports to: Director of Engineering

Company: Supernal

Type: EOR FTE or Contractor

Rate: $15 - $20 per hour

About Supernal

At Supernal, we help SMBs hire their first AI employee. Our AI teammates are built with intelligent, agentic workflows and deployed on our proprietary platform. We don't build tools — we deliver working, value-generating AI Employees.

Now, we're looking for a Software Engineer (Mid-level) to help build and ship the systems behind these AI teammates.

The Role

As a Software Engineer, you'll build and ship production software that powers customer-facing AI workflows and the internal platform that supports them.

You'll design and implement backend services and integrations, work across APIs and data flows, and contribute to reliability and scalability as we grow.

Beyond writing code, you will take ownership of scoped projects: clarify requirements, propose an approach, deliver iteratively, and ensure the result is solid in production.

This is a hands-on role. You're not just closing tickets — you're shipping meaningful features, debugging real production issues, and raising the quality bar through testing and good engineering practices.

Responsibilities

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