Interface AI

Join interface.ai as an early-career Software Engineer building and evaluating production AI features used by more than 100 financial institutions. You’ll ship from your first weeks, work with LLMs daily, and grow toward bounded end-to-end ownership within your first year.

Own production software modules end-to-end at an AI-native financial-services company serving more than 100 banks and credit unions. You’ll build with LLMs, design rigorous evaluation harnesses, and ship weekly from the company’s San Francisco office.

Own and advance an internal AI recruiting platform that automates sourcing, screening, interviewing, and candidate evaluation. This high-leverage applied AI role works directly with interface.ai’s CEO’s office and talent team to ship production systems quickly.

Build and own the scalable platform and applied AI systems powering interface.ai’s production banking products. You’ll shape technical direction across backend, frontend, cloud, security, and agentic AI in a hands-on San Francisco office environment.

Own an entire technical domain at interface.ai as a deeply hands-on Chief Engineer, building AI-native systems and setting the engineering standard through your own work. This is the company’s most senior technical track, combining architecture, coding, and high-leverage leadership without becoming a pure manager.

Own one of interface.ai’s highest-impact technical domains as a hands-on Chief Engineer, building production AI systems and setting the technical bar alongside the founders. This is the company’s most senior technical track, focused on leadership through technical credibility rather than headcount.

Own security and compliance engineering for a production AI platform serving banks and credit unions. You’ll build controls, secure sensitive financial and AI systems, and set the technical security bar across the organization.

Define the architecture and technical direction for an AI-native financial services platform while continuing to build production systems. This hands-on staff role offers company-wide influence across agentic AI, platform engineering, and engineering standards.