Machine Learning/AI Scientist

About the Role

Join an engineering team building AI automation for the insurance brokerage sector. This hands-on, customer-facing role combines software development with customer scoping, turning business workflows into deployed solutions and bringing successful work back into the platform.
Own enterprise implementations from requirements gathering through deployment.
Build and ship AI agents and automations that address customer workflows.
Work with customers after sale to understand business problems and scope technical solutions.
Deliver working solutions rapidly, often within a week of customer conversations.
Integrate successful customer-specific work into the core platform.
Partner with product and engineering teams to turn customer insights into scalable features.
Three to six years of software engineering, implementation, solutions, forward deployed, or product engineering experience.
Full-stack experience, with proficiency in Python and/or TypeScript.
Experience balancing hands-on coding with customer-facing scoping and requirements gathering.
A track record of shipping multiple customer-facing features or automations for enterprise customers, including post-sale work delivered quickly.
Startup experience, including work at a Series A or later company, and no software consulting background.
Experience building or deploying AI, LLM, or agentic workflows in production is a plus.
Insurance or financial services experience is helpful, along with strong ownership and the ability to switch between customer communication and focused engineering work.
A degree from a strong university or equivalent academic background, and substantive US work experience.
Visa sponsorship is available.
On-site in San Francisco, California.