Join Liberate as a Staff AI Agent Engineer to lead complex AI agent deployments in the insurance industry.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Role intensity
60% hands-on coding
AI in the day-to-day
We build AI agents to automate manual tasks for the insurance industry.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Staff AI Agent Engineer at Liberate, the individual is responsible for managing complex customer deployments of AI agents, ensuring that bespoke solutions are transformed into scalable patterns. This position requires strong technical skills, particularly in Python and modern backend systems, along with experience in LLM-based technologies. Ideal candidates will have over six years of software engineering experience and a proven ability to tackle intricate problems while working closely with clients. Liberate is focused on revolutionizing the insurance industry through innovative AI solutions, making this role pivotal in shaping the future of their offerings.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Liberate's career page.
- Liberate has 15 other open roles including Office Assistant , Head of RevOps, Senior AI Agent Engineer.
- 6517 active Python roles on Joblaze right now.
- 5136 active AI/ML roles on Joblaze right now.
- 525 active Cloud roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3225 roles). See Python salary trends
Quick facts
- Is the Staff AI Agent Engineer role remote?
- It's hybrid — Liberate expects some on-site time in Boston .
- How much experience is required?
- At least 6 years of relevant experience for this Staff AI Agent Engineer role.
- Where is the role based?
- Liberate is hiring for this position in Boston .
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Cloud, LLM-based systems, Python.
- What seniority level is this role?
- Liberate targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff AI Agent Engineer role at Liberate.
From the original posting
About Us:
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 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