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Senior AI Agent Engineer

Liberate · liberate.io
San FranciscoHybridSenior7+ yrs
Apply on Liberate’s site
Posted 5 months ago. 26 more Machine Learning / AI Engineer jobs in San Francisco, California went up on company career pages this week. See the newer ones

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Straight from the company’s own careers site.

The job in short

AI agent engineering.

PythonJavaAWSAzureMachine learningInsurance

Details

Found
37 d ago · posted 2026-05-12
Location
San Francisco, CA
Pay (as listed)
$120,000–$220,000 a year

Full description

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. About The Role: We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our customers' technical needs, ensuring successful deployment and integration. In this role, you will work closely with customer success, sales, product, and engineering teams to deliver AI-driven solutions that drive measurable value for our customers. *Location: Boston or San Francisco (Berkeley) hybrid role (2 day/week in-office) Key Responsibilities: • Collaborate with the sales team to understand customer requirements and design tailored AI-driven solutions that meet their specific business needs. • Serve as the technical expert during the post-sales process, providing product demonstrations, technical presentations, and answering detailed customer inquiries. • Work closely with customers to assess their current systems and workflows, identifying integration points for our AI solutions. • Develop and deliver customized product configurations and prototypes to demonstrate the value and functionality of our solutions. • Assist in the implementation process by providing technical guidance, troubleshooting issues, and ensuring seamless integration with customer systems. • Act as a liaison between customers and the product development team, communicating customer feedback and helping to shape future product features. • Provide post-sales support to ensure customer satisfaction and continued product success. • Create and maintain technical documentation, including integration guides, FAQs, and best practices. Qualifications: Must have • 7+ years of experience in a solutions engineering or technical consulting role, preferably within the AI or technology sectors. • Bachelor's degree in Computer Science, Engineering, or a related field. • Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment • Experience with programming languages such as Python, Java, or similar, and familiarity with APIs, data integration, and cloud platforms. • Strong technical background with experience in software development, system integration, and cloud-based solutions. • Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to both technical and non-technical audiences. • Proven ability to manage multiple customer engagements simultaneously, delivering high-quality results under tight deadlines. • Strong problem-solving skills and a proactive approach to addressing customer challenges. Nice to have • Familiarity with AI, machine learning, and data analytics technologies and how they can be applied in enterprise environments. • Experience in the insurance technology or financial services industries. • Previous experience working in a startup or high-growth environment. • Certifications in cloud platforms such as AWS, Google Cloud, or Azure. Salary Range: $120,000-$220,000 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. Benefits: • Competitive salary with equity options • Flexible PTO • 401(k) plan • Comprehensive health, dental, and vision insurance • Flexible work environment • Collaborative and innovative company culture

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