Staff AI Agent Engineer

Liberate

$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of professional software engineering experience
  • Hands-on expertise in production systems
  • Proficient in Python and modern backend frameworks
  • Experience with LLM-based systems and workflows
  • Strong analytical skills regarding quality and operational risks
  • Customer-facing experience in technical problem-solving
  • Demonstrated high level of ownership and decision-making abilities

Responsibilities

  • Own complex agent deployments from design to production
  • Design and iterate on agent workflows and integrations
  • Convert customer-specific insights into reusable templates
  • Collaborate with Product and Platform to guide development
  • Analyze and enhance agent performance through evaluations
  • Conduct technical reviews for design and launch readiness
  • Mentor other engineers through example and coaching

Benefits

  • Hybrid work model with 2 days in the office
  • Opportunities for professional growth and mentorship
  • Engagement in innovative technology and AI applications
  • Involvement in high-impact projects in the insurance sector
  • Supportive and collaborative company culture
Full Job Description
About the Role

As a Staff AI Agent Engineer, you are a force multiplier for customer deployments and agent quality. You own complex customer launches end to end and turn hard, bespoke problems into repeatable patterns. You operate with strong judgment, raise the engineering bar in the work, and reduce dependency on leadership by owning outcomes directly.

This role is hands-on, customer-facing, and deeply technical. You are not a solutions engineer. You are an engineer who ships.
What You'll Do
  • Own complex, high-impact agent deployments from design through production
  • Design, build, and iterate on agent workflows, prompts, evals, and integrations
  • Turn customer-specific learnings into reusable templates, playbooks, and patterns
  • Partner with Product and Platform to influence roadmap based on real-world usage
  • Debug and improve agent behavior using structured evals, monitoring, and analysis
  • Lead technical reviews for agent design, launch readiness, and post-launch quality
  • Mentor other Agent Engineers through example and direct coaching
  • Raise the bar on engineering quality, operational rigor, and reuse in deployments
What We're Looking For

Must Have
  • 6+ years of professional software engineering experience
  • Strong hands-on experience building and operating production systems
  • Fluency in Python and modern backend systems (APIs, services, cloud)
  • Experience working with LLM-based systems, prompts, tools, or agent frameworks
  • Ability to reason about quality, failure modes, and operational risk
  • Comfort working directly with customers on technically complex problems
  • High ownership, good judgment, and the ability to operate under pressure

Nice to Have
  • Experience with agentic systems, eval frameworks, or AI observability
  • Prior work in B2B SaaS, enterprise software, or regulated environments
  • Experience turning bespoke solutions into reusable systems

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