Principal AI Agent Engineer
LiberateSan Francisco and BostonPosted 2 April 2026
Job Description
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)
About the Role
As a Principal AI Agent Engineer , you define what “great” looks like for agent engineering at Liberate. You set the technical bar, shape how we deploy AI at scale, and ensure we build leverage instead of heroics.
You operate across customers, teams, and initiatives. You are trusted with the hardest problems, the messiest launches, and the highest-risk decisions. Your impact shows up not just in what you ship, but in how the organization gets stronger around you.
What You’ll Do
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
What We’re Looking For
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
Nice to Have
Experience designing or scaling agentic or LLM-powered platforms
Experience in regulated, high-stakes, or customer-facing systems
Prior Staff/Principal/Distinguished-level experience at a strong engineering org
Apply Now
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