Senior AI Engineer

Recruiting From Scratch•San Francisco, CA

1d•Onsite

About The Position

The Senior AI Engineer will build agentic AI experiences for consumers and business customers on a next-generation financial technology platform combining business workflow software, financial products, and AI-powered experiences. The engineering team is small and collaborative, building products from the ground up, with engineers having significant ownership over architecture, product direction, and engineering practices. The role owns AI-powered products and features end-to-end, from ideation and architecture through implementation and deployment. This includes building full-stack, high-performance web applications and AI agents, and taking responsibility for their user experience, functionality, evaluations, monitoring, safeguards, quality, performance, and reliability. The engineer will work closely with product, design, and engineering teams to turn customer problems into practical agentic experiences and contribute to product decisions and technical direction. The engineer will also help establish practices for developing and deploying agentic AI applications, explore emerging systems, libraries, tools, and development approaches, and help accelerate the software development lifecycle while maintaining high standards for code quality, security, and maintainability. The position is on-site in San Francisco, five days per week, and offers a base salary of $180,000–$275,000 plus competitive equity.

Requirements

4–8 years of experience as a Full-Stack Engineer or AI Engineer.
Proven experience building and shipping agentic AI products or experiences to real users.
Strong background in high-performance, complex web application development.
Experience working across different frameworks and modern software development environments.
Deep practical understanding of modern agentic systems, libraries, architectures, and emerging best practices.
Experience owning AI-powered features or products from architecture through deployment.
Strong understanding of agent functionality, monitoring, evaluations, and safeguards.
Comfort operating in a small, fast-moving engineering team with significant individual ownership.
A builder mindset and strong interest in using AI to create better customer experiences.

Responsibilities

Design, develop, and ship intuitive agentic AI experiences for consumer and business customers.
Build AI agents that support meaningful customer workflows and deliver real-world outcomes.
Own one or more agents end-to-end, including functionality, user experience, evaluations, monitoring, and safeguards.
Own AI-powered features from ideation and architecture through implementation and deployment.
Build complex, high-performance web applications across the full stack.
Translate product requirements into scalable technical solutions.
Take responsibility for the quality, performance, and reliability of systems built.
Collaborate with product, design, and engineering teams to deliver high-impact features.
Understand customer problems and translate them into practical agentic experiences.
Build appropriate safeguards into AI-powered workflows.
Contribute to product decisions and technical direction as an early team member.
Help establish best practices for building and deploying agentic AI applications.
Explore modern agentic systems, libraries, tools, and emerging development approaches.
Help accelerate the software development lifecycle while maintaining high engineering standards.
Contribute to a culture of collaboration, quality, customer orientation, and performance.