Staff Software Engineer

Responsibilities

• Define the technical direction and architecture for autonomous AI systems that create, repair, and improve financial institution integrations.
• Create novel observability, monitoring, and debugging platforms to provide engineers with deep visibility into the behavior, decisions, and performance of AI-powered systems.
• Build LLM-powered code generation pipelines that write, validate, and ship production code end-to-end with minimal human intervention.
• Design evaluation frameworks that measure correctness, reliability, and safety for non-deterministic systems operating at scale.
• Architect self-healing infrastructure that detects, diagnoses, and repairs itself in under 24 hours.
• Develop multi-layer safety architectures to ensure AI systems take the correct actions in production and degrade safely when uncertainty exists.
• Partner closely with engineering and product leaders to identify high-leverage automation opportunities and turn them into production systems.
• Raise the technical bar across the organization through mentorship, design reviews, and hands-on leadership.

Requirements

• Strong software engineering experience with deep focus on backend and/or platform systems.
• Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility).
• Must be comfortable working hands-on directly in the codebase. This is a builder archetype position. You will spend considerable time designing and then building the actual systems you own.
• Must be comfortable moving fast, which means making trade-offs between technical excellence and the rapid deployment of working systems to validate whether approaches are fruitful.

Nice to Haves

• Previous experience building production generative AI systems that customers interact with.
• Experience with browser automation, web automation, scraping, extraction systems, or tools such as Playwright, Stagehand, or similar frameworks.