AI Engineer operating production AI agents and reliability tooling for an AI marketing platform serving dental practices. Debugging LLM failures, integrations, monitoring, and scheduling systems.
Responsibilities
Run and direct multiple AI coding agents in parallel, critically review their output, and maintain a clean codebase
Own production AI agents for voice, reviews, and reporting
Decide when to delegate to AI agents and when to write code directly, especially for concurrency, scheduling logic, and security
Debug production issues systematically using logs and traces and identify root causes across code, vendor APIs, prompts, and context
Build monitoring, tracing, alerts, and dashboards for agent actions and integrations
Identify where LLMs fail across prompts, tool calls, and context, and validate fixes through evaluations and real-failure replays
Own production reliability and incident response across AI agents and integrations
Build debugging and evaluation tooling for LLM agents, including prompt, context, and tool-call tracing, regression evaluations, and failure replay
Build a real-time availability viewer and configurator for office scheduling
Help finish and harden the Marketing Report and Website Builder
Take ownership of outcomes and proactively identify and resolve issues
Requirements
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
Experience with event-driven services
Experience with 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
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