5 months ago
Responsibilities
- Own complex, high-impact agent deployments from design through production.
- Design, build, and iterate on agent workflows, prompts, evaluations, and integrations.
- Convert customer-specific learnings into reusable templates, playbooks, and patterns.
- Partner with Product and Platform to influence the roadmap based on real-world usage.
- Debug and improve agent behavior using structured evaluations, monitoring, and analysis.
- Lead technical reviews for agent design, launch readiness, and post-launch quality.
- Mentor other Agent Engineers through example and direct coaching.
- Improve engineering quality, operational rigor, and reuse across deployments.
Requirements
- At least 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, and cloud environments.
- 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.
- Experience with agentic systems, evaluation frameworks, or AI observability is preferred.
- Experience in B2B SaaS, enterprise software, or regulated environments is preferred.
- Experience turning bespoke solutions into reusable systems is preferred.
Benefits
- Hybrid work arrangement with 2 days per week in the Boston or San Francisco (Berkeley) office.
Tech Stack
Categories
About Liberate
Liberate builds insurance‑native AI agents for carriers, agencies, and brokers that handle customer interactions across voice, SMS, email, and web. Delivered as a SaaS platform, its agents resolve requests and complete downstream work inside core systems such as Guidewire, Duck Creek, Applied Epic, and Salesforce. Founded in 2022 and headquartered in the San Francisco Bay Area, the company is privately held.