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.
Open Positions at Liberate
7 open positions
Senior AI Agent Engineer who delivers tailored AI solutions, integrations, prototypes, and technical guidance for enterprise customers. The role bridges sales, customer success, product, and engineering in a hybrid Boston or Berkeley environment.
AI Agent Engineer who partners with customers and internal teams to configure, integrate, and deploy AI-driven solutions for insurance workflows. This hybrid Boston or Berkeley role combines technical consulting, post-sales enablement, prototyping, and customer support.
AI Agent Engineer responsible for deploying and integrating AI-driven solutions with enterprise customers in a customer-facing technical role. The position combines solutions engineering, technical consulting, product demonstrations, implementation guidance, and post-sales support.
Lead the secure, reliable infrastructure foundation for Liberate’s agentic insurance platform. This hands-on role combines cloud infrastructure and DevOps ownership with product security, compliance, incident response, and the opportunity to build the security function.
Senior AI Agent Engineer focused on helping enterprise customers deploy, integrate, and realize value from AI-driven solutions. The role combines solutions engineering, technical consulting, customer presentations, prototyping, and post-sales implementation support.
Build and ship production AI agent systems for complex insurance-industry customer deployments. This hands-on Staff role combines backend engineering, LLM workflows, customer-facing technical ownership, and mentorship.
Build and launch production AI agent systems for complex customer workflows, turning bespoke deployment challenges into reusable engineering patterns. This hands-on Staff role combines backend development, agent quality, customer collaboration, and technical mentorship.