AI Agent Engineer

Liberate; San Francisco (CA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary with equity options

Flexible PTO

401(k) plan

Health, dental, and vision insurance

Flexible work environment

Collaborative and innovative culture

Job summary

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice and are 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 are seeking an AI Agent Engineer to bridge the gap between our products and customers' technical needs, collaborating with customer success, sales, product, and

Qualifications

• 3+ 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 thrive in an early-stage enterprise startup.
• Experience with Python, Java, or similar languages, 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; able to explain complex technical concepts to 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.

Responsibilities

• Collaborate with the sales team to understand customer requirements and design AI-driven solutions.
• Serve as the technical expert during post-sales, delivering product demonstrations and handling detailed inquiries.
• Assess customer systems and workflows to identify integration points for our AI solutions.
• Develop and deliver customized product configurations and prototypes to demonstrate value.
• Provide technical guidance during implementation and ensure seamless integration with customer systems.
• Act as a liaison between customers and product teams to relay feedback and shape features.
• Provide post-sales support to ensure customer satisfaction and product success.
• Create and maintain technical documentation, including integration guides and FAQs.

Skills

Solutions engineering

Customer obsession

Python/Java programming

APIs & cloud

Communication skills

Multi-customer management

Problem solving

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

Google Cloud

Azure

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.

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

• 3+ 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-$190,000

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.

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance
• Flexible work environment
• Collaborative and innovative company culture