AI Engineer

WHO WE'RE LOOKING FOR

An engineer who takes full ownership of production and, when something breaks, knows exactly what went wrong and where, usually before the practice notices.

* You run multiple AI agents, well. You direct several AI coding agents in parallel, review what they produce critically, and keep a codebase clean while moving fast. You also own our production agents (voice, reviews, reporting) as systems, not demos.
* You know where AI helps and where it doesn't. You decide deliberately when to delegate to an AI agent and when to write the code yourself: tricky concurrency, scheduling logic, security, anything where being subtly wrong is expensive.
* You debug fast and systematically. You form a hypothesis, check the logs and traces, and find the root cause, whether it's in our code, a vendor API, or the model's prompt and context.
* You build the monitoring that's missing. If you can't see it, you instrument it: tracing across every call and agent action, alerts that fire on real failures, dashboards people actually use.
* You can pinpoint where an LLM went wrong: which prompt section, which tool call, which piece of context. Then you prove the fix with evaluations and replays of real failures.
* You own outcomes. You don't wait for tickets; you find what's broken, fix it, and make sure it stays fixed.

WHAT YOU'LL WORK ON

* Production reliability and incident response across our AI agents and integrations.
* Debugging and evaluation tooling for LLM agents (prompt, context and tool-call tracing; regression evals; failure replay).
* A real-time availability viewer and configurator: every office schedules differently, so make it visible and configurable exactly what the voice agent will offer, and why.
* Helping finish and harden the Marketing Report and the Website Builder.

Requirements

WHAT YOU NEED

* 7+ years building and operating production systems, with real on-call and incident ownership.
* Hands-on LLM applications in production: tool calling, prompt and context debugging, evals (Langfuse or similar).
* Daily, disciplined use of AI coding tools (Claude Code, Codex, Cursor), including running several agents in parallel.
* Strong Python and TypeScript; event-driven services; MongoDB or Postgres.
* Experience with messy third-party integrations (scheduling systems, telephony, marketing and ad platforms).
* Ability to work U.S. Eastern Time business hours.
* Based in Canada, Argentina, Brazil or the United Kingdom, and able to work as an independent contractor.

BONUS POINTS

* Scheduling or constraint systems.
* Marketing tech.
* HIPAA.
* Twilio or voice AI.

Benefits

ENGAGEMENT DETAILS

* Full-time independent contractor engagement (not employment); this role is open to candidates outside the U.S. only.
* Compensation: USD 5,000 to 6,000 per month (full-time), depending on experience.
* Fully remote, working U.S. Eastern Time hours.