Staff AI Agent Engineer

• 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

• 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

• 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

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

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