SoFi
Senior Staff Software Engineer, AI Developer Experience
CA - San Francisco +2 · Senior Staff · Full-time · Posted Oct 30, 2026
- Location
- CA - San Francisco
WA - Seattle
CA - San Francisco - Experience
- Bachelor’s degree plus 4+ years of experience, or master’s degree plus 3+ years of experience, in software engineering, computer science, or a related technical field.
- Education
- Bachelor’s degree or master’s degree in software engineering, computer science, or a related technical field.
About the job
Leads architecture and technical strategy for SoFi’s AI Developer Experience platform, enabling engineers to build and deploy interactive and autonomous AI-assisted coding workflows.
What you'll do
- Define architecture and roadmaps for the AI Gateway, model routing, evaluation platform, and coding harness infrastructure.
- Lead cross-team initiatives, improve distributed-system performance and operational resilience, and guide build-versus-buy decisions.
- Set technical standards, lead design reviews and incident response, and mentor senior and staff engineers.
What they ask for
- Track record of technical leadership across multiple teams and complex distributed architectures.
- Strong system design skills with large-scale, high-availability distributed systems, platform infrastructure, and cross-domain APIs.
- Hands-on experience with LLM-based architectures, model APIs, AI-assisted development tools, and evaluation pipelines, gateways, or dynamic routing.
- Ability to analyze infrastructure economics, capacity trade-offs, and telemetry; strong communication, security, privacy, and software design practices.
Nice to have
- Experience scaling enterprise internal developer platforms or tooling; exposure to FinOps.
- Experience with autonomous agentic workflows, engineering lifecycle integrations, or financial technology and regulated environments.
Tools
LLM-based architectures, model APIs, coding agents, developer harnesses, prompt/context evaluation, AI Gateway, CI/CD, Code Factory
AI focus
Builds AI developer infrastructure, including interactive and autonomous coding workflows, model routing, evaluation, AI economics, and coding harnesses; the role also uses AI tools responsibly and reviews AI-generated code and architecture.
Model-written summary · the original posting is authoritative