# AI Agent Engineer at Liberate

> Hybrid · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aliberate%3A4925435008 (read 2026-11-10).

## Facts (observed)

- Company: [Liberate](https://alderhq.app/companies/liberate)
- Location text: San Francisco, CA; Hybrid
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: San Francisco, CA; Hybrid")
- Posted: 2025-09-17 (419 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/liberate/jobs/4925435008
- Skills listed (inferred): Python, Java, AWS, GCP, Azure

## Pay and sponsorship

- Posted pay: $120k–$190k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 1752): p25 $161k, median $200k, p75 $239k

## Description (the employer's text)

### 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

- 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.

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aliberate%3A4925435008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.