Description
Shape a brighter financial future with SoFi, a next-generation financial services company and national bank. The AI Platform team builds the foundation that enables every engineer at SoFi to ship faster, safer, and with higher leverage from AI.
As a founding Staff Software Engineer on the AI Developer Experience (AI DevEx) team, you'll be a technical leader owning major platform systems, setting the team's engineering standards, and working closely with other teams and engineering groups.
Responsibilities
- Own platform systems end-to-end: design, build, and operate foundational components of the AI Gateway, model routing, eval platform, and harness vending.
- Instrument AI economics: develop usage telemetry, cost allocation, and chargeback mechanisms.
- Lead team execution: plan feature architecture and implementation paths, parallelize work streams, and align cross-team dependencies.
- Guide technical design: facilitate design reviews, evaluate architectural trade-offs, and align critical technical outcomes.
- Establish technical standards: define coding conventions, automated patterns, and architectural standards.
- Drive operational excellence: automate build, test, and deployment workflows, and serve as a leading resolver on production incidents.
- Maintain a 6-to-12-month technical vision: anticipate system growth, prioritize architectural hygiene, and make pragmatic build-versus-adopt choices.
- Partner with internal engineering teams: engage directly with developers, drive adoption of interactive coding tools, and translate feedback into continuous system enhancements.
- Mentor and develop engineers: provide well-calibrated, constructive code and design feedback.
Requirements
- Bachelor’s Degree + 3–4 Years of Experience OR Master’s Degree + 2–3 Years of Experience 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).
- Proven distributed systems expertise with sound judgment evaluating trade-offs.
- Track record of technical leadership guiding feature delivery, cross-functional alignment, and architecture on production platforms.
- Hands-on experience developing with or building AI-assisted developer tooling and LLM-based systems.
- Hands-on experience with cloud infrastructure (AWS/GCP), containerization, modern CI/CD pipelines, and operational on-call service ownership.
- Product-oriented engineering mindset: commitment to treating internal developers as customers and measuring success through platform adoption and user sentiment.
- Clear written and verbal communication skills.
Nice to have
- Direct experience building or operating LLM evaluation pipelines, model proxies, or semantic request routing layers.
- Experience engineering internal developer platforms (IDP), developer tooling, or CLI workflows.
- Experience with cost telemetry, usage-based metering, or FinOps instrumentation.
- Background in fintech or adjacent environments operating under strict data compliance and security regulations.
Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.