Staff AI Agent Engineer

Liberate

Tech Stack

About the Role

Liberate is seeking a Staff AI Agent Engineer to own complex, high-impact AI agent deployments end-to-end for insurance carriers and brokers. You'll design, build, and iterate on agent workflows, prompts, evaluations, and integrations, converting customer-specific solutions into reusable templates, playbooks, and patterns while raising engineering quality standards across the team.

What you'll do:

  • Own complex, high-impact agent deployments from design through production
  • Design and build agent workflows, prompts, evaluations, and integrations
  • Convert customer-specific solutions into reusable templates, playbooks, and patterns
  • Collaborate with Product and Platform teams
  • Debug agent behavior through structured evaluations and monitoring
  • Provide technical leadership and mentorship to other engineers

What we're looking for:

  • 6+ years of professional software engineering experience
  • Production systems operation expertise
  • Python fluency and modern backend systems knowledge (APIs, services, cloud)
  • Experience working with LLM-based systems, prompts, tools, or agent frameworks
  • Quality reasoning and failure mode analysis
  • Direct customer-facing technical problem-solving
  • High ownership and judgment

Nice to have:

  • Agentic systems, evaluation frameworks, or AI observability experience
  • B2B SaaS or regulated environment background
  • Pattern extraction from bespoke solutions

Location: Boston, MA or San Francisco (Berkeley), CA (hybrid, 2 days/week in office)

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