Forward Deployed AI Engineer

Latitude; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Latitude is seeking a hands-on software engineer who will operate at the intersection of AI, product, and customer implementation within the insurance technology space. You will engage with enterprise brokerages to gather requirements, design AI-powered workflows, and deliver scalable features through rapid iterations.

You’ll work across front-end and back-end codebases in a post-sales context, translating customer needs into practical technical solutions and helping shape platform capabilities

Qualifications

• 3–6 years of software engineering experience.
• Experience scoping and delivering post-sales customer solutions.
• Full-stack capabilities with Python and/or TypeScript.
• US work experience and relevant degree.
• AI/ML automations or insurance/financial services domain is a plus.

Responsibilities

• Own customer engagements from requirements gathering through deployment.
• Build and ship AI agents and workflow automations.
• Understand customer business needs and shape technical solutions.
• Develop across front-end and back-end, reuse learnings into platform features.
• Collaborate with product and engineering to scale improvements.

Skills

Full-stack

Python

TypeScript

Post-sales

Enterprise deployments

Communication

Problem solving

Education

Bachelor's degree or equivalent

Job description

About the Role

This hands-on engineering role sits at the intersection of AI, product, and customer implementation in the insurance technology sector. You will work with enterprise insurance brokerages to understand their workflows, build AI-powered solutions, and help turn successful implementations into scalable platform capabilities.

What You'll Do

• Own customer engagements from requirements gathering and technical scoping through implementation and deployment.

• Build and ship AI agents and workflow automations, often delivering working solutions within the same week as customer conversations.

• Work directly with enterprise customers after the sale to understand their business needs and shape practical technical solutions.

• Develop across the front end and back end, then incorporate reusable customer learnings into platform features.

• Collaborate with product and engineering teammates to make customer-driven improvements that scale across deployments.

What We're Looking For

• Three to six years of software engineering, forward deployed, solutions, implementation, or product engineering experience, with substantial hands-on coding.

• Experience scoping and delivering post-sales customer solutions, including the ability to balance customer communication with focused engineering work.

• Full-stack proficiency and experience with Python and/or TypeScript.

• Startup or software consulting experience, including work at a venture-backed startup at Series A or later.

• Experience building or scaling enterprise deployments and shipping multiple product features or automations for large customers.

• Strong engineering fundamentals and a relevant degree or equivalent background.

• Production experience with AI/ML automations, agentic workflows, or LLM-powered pipelines is a plus, as is experience in insurance or financial services.

• Substantive professional experience in the United States.

Compensation & Benefits

Annual base salary: $180,000 to $300,000. Visa sponsorship is available.

Location

On-site, five days per week in San Francisco, California.