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GTM AI Engineer

📅 Jul 10
Software EngineeringPlatform EngineeringInfrastructure EngineeringCloud Hosting

📜 Description

  • Take newly built agents from working v1 to production-ready, including writing evals and refactoring code.
  • Instrument tracing, logging, and monitoring across the agent fleet to catch regressions early.
  • Maintain deployment pipelines for seamless agent delivery to users, ensuring environment parity.
  • Oversee how agents interact with databases, ensuring safe and scalable operations.
  • Monitor agent behavior in production, triage issues, and implement continuous improvements.
  • Collaborate with the GTM AI team to allow agent builders to focus on development.

🛠️ Requirements

  • 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
  • Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
  • Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
  • Experience with how agents interact with and edit databases, including some hands-on database administration.
  • Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
  • Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work.

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