Staff AI Agent Engineer

Liberate

$120K — $160K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of professional software engineering experience
  • Strong hands-on experience with production systems
  • Proficient in Python and modern backend architectures
  • Experience with LLM-based systems
  • Ability to assess quality and operational risks
  • Customer-facing experience with complex technical challenges
  • Demonstrated high ownership and decision-making under pressure

Responsibilities

  • Own the end-to-end deployment of high-impact AI agents
  • Design and iterate on workflows, prompts, and integrations
  • Transform customer insights into reusable templates and playbooks
  • Collaborate with Product and Platform to refine the roadmap
  • Debug and enhance agent performance using structured evaluations
  • Lead technical reviews for agent design and deployment
  • Mentor team members and promote engineering excellence

Benefits

  • Hybrid work model with in-office days required
  • Well-funded startup with $72M raised in total
  • Opportunity to influence the future of AI in insurance
  • Dynamic, growth-focused company culture
  • Access to cutting-edge technology and innovative projects
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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