SoFi
Staff Software Engineer, AI Developer Experience
CA - San Francisco +2 · Staff · Full-time · Posted Oct 30, 2026
- Location
- CA - San Francisco
WA - Seattle
CA - San Francisco - Experience
- Bachelor’s degree + 3–4 years, or master’s degree + 2–3 years of experience in software engineering, computer science, or a related field.
- Education
- Bachelor’s degree or master’s degree in software engineering, computer science, or a related field.
About the job
Leads development and operation of SoFi’s AI developer platform, including coding tools, model routing, evaluation, and infrastructure that helps engineers build and ship software.
What you'll do
- Own foundational AI Gateway, model-routing, evaluation, and harness-vending systems; instrument AI usage, costs, and chargebacks.
- Lead technical design, execution, operational excellence, and engineering standards across teams; mentor engineers.
- Partner with internal developers to improve adoption and continuously enhance AI coding tools and workflows.
What they ask for
- Bachelor’s degree plus 3–4 years of experience, or master’s degree plus 2–3 years, in software engineering, computer science, or a related field.
- Advanced programming expertise in at least one modern backend language, such as Java, Kotlin, Python, Go, or Scala; distributed-systems expertise.
- Technical leadership delivering production platforms and hands-on experience with AI-assisted developer tooling or LLM-based systems.
- Experience with AWS/GCP, containerization, modern CI/CD pipelines, and operational on-call service ownership.
Nice to have
- Experience building or operating LLM evaluation pipelines, model proxies, semantic request routing, internal developer platforms, developer tooling, or CLI workflows.
- Experience with cost telemetry, usage-based metering, or FinOps instrumentation; fintech or similarly regulated environments.
Tools
Java, Kotlin, Python, Go, Scala, AWS, GCP, CI/CD
AI focus
Builds AI-assisted developer tooling and platform infrastructure, including coding harnesses, LLM evaluation, an AI Gateway, intelligent model routing, and AI usage and cost telemetry. The role also applies AI tools responsibly and establishes team harnesses, prompt templates, and guardrails.
Model-written summary · the original posting is authoritative