About the role

What will you do at True Talent Solutions Partners?

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.

Which skills does this role require?

PythonTypeScriptFull-stack developmentAI agentsWorkflow automationLLM-powered pipelinesCustomer implementationTechnical scopingRequirements gatheringSoftware engineeringProduct engineeringEnterprise deploymentsConsultingInsurance technologyAIMachine LearningFull-stackInsurance TechnologyWorkflow AutomationLLMAgentic WorkflowsSoftware EngineeringProduct EngineeringEnterpriseStartupDeploymentCustomer ImplementationTechnical ScopingAPIBackendFrontendLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.