Principal AI Agent Engineer

About the role

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.

Responsibilities

• Act as the technical authority for agent architecture, quality, and deployment
• Own the most complex and high-risk customer launches and recoveries
• Define standards for agent design, prompts, evals, monitoring, and launch readiness
• Identify systemic gaps and drive solutions that reduce repeat incidents and toil
• Partner closely with Platform, Data Science, and Product to shape agent strategy
• Design reusable frameworks that turn customer work into durable platform leverage
• Lead by example in reviews, incidents, retros, and hard tradeoff decisions
• Mentor Staff and Senior engineers and raise the bar across the org

Requirements

• Must have 10+ years of software engineering experience, including senior technical leadership
• Proven track record of owning large, ambiguous systems in production
• Deep understanding of system design, failure modes, and operational excellence
• Strong intuition for AI agent behavior, evaluation, and risk management
• Ability to set standards and influence without formal authority
• Calm, decisive leadership during incidents and crunch time
• High bar for quality, leverage, and long-term system health

Qualifications

• Nice to have: Experience designing or scaling agentic or LLM-powered platforms
• Prior Staff/Principal/Distinguished-level experience at a strong engineering org