Staff Engineer

About the Role Join a small fintech engineering team building real-time AI voice and compliance workflows for financial services. You will own architecture and delivery across backend, infrastructure, and AI reliability, helping bring dependable systems into production. What You'll Do Architect and own core systems that support real-time voice and compliance workflows. Improve performance and reliability, with a focus on sub-700ms latency through event-driven architecture and parallel processing. Work closely with a seven-person engineering team and company leadership across infrastructure, backend, and AI reliability. Deploy, operate, and scale resilient distributed systems on Kubernetes. Lead features from design through production deployment in financial services environments. Build and refine AI systems using customer interactions and human feedback signals. What We're Looking For Three to ten years of software engineering experience, with at least three years required. A computer science degree and strong computer science fundamentals. Experience owning production backend services end to end, beyond frontend engineering. Experience designing databases, optimizing database performance, and building distributed systems with reliability and fault tolerance. Familiarity with Python, Kubernetes, event-driven architecture, LLMs, and real-time backend systems; the role is language-agnostic, with Python used primarily by the team. Experience in a startup or smaller company, or experience combining larger-company and smaller-company environments, is a plus. Production AI or machine learning experience is a plus; prior agent-building experience is not required. Compensation & Benefits Base salary: $250,000 to $320,000 annually. Visa sponsorship is available. Location On-site in San Francisco, United States.