SoFi

Lends money and manages bank accounts online

Senior Staff Software Engineer - AI Developer Experience

AI Application EngineeringConfirmed live in the last 24 hours

Full-time$172.8k - $297kIn-person

About the Job

Requirements

A bachelor's degree plus at least 4 years of experience, or a master's degree plus at least 3 years of experience, in software engineering, computer science, or a related technical field is required.
Demonstrated technical leadership on software initiatives spanning multiple teams and complex distributed architectures is required.
Adept system design capability with large-scale, high-availability distributed systems, platform infrastructure, and cross-domain APIs is required.
Hands-on engineering experience building with large language model-based architectures, model APIs, and AI-assisted development tools, including coding agents, developer harnesses, prompt and context evaluation, and tool integration, is required.
Hands-on experience designing or operating model evaluation pipelines, AI proxies or gateways, or dynamic routing systems is required.
Ability to analyze infrastructure unit economics, capacity trade-offs, and operational telemetry is required.
Commitment to engineering best practices, security guardrails, data privacy, and maintainable software design is required.
Ability to use AI tools responsibly to accelerate prototyping, explore architectures, and streamline ramp-up across new domains is required.
Ability to critically review AI-generated code and architecture, enforcing automated testing, safety, and long-term maintainability, is required.
Ability to adhere to data-handling and security protocols protecting proprietary and member data is required.
Ability to share effective AI development workflows, specification templates, and evaluation guardrails is required.

Responsibilities

Define and drive the architecture for the enterprise AI Gateway, model routing, automated evaluation platform, and harness vending, supporting interactive and autonomous workflows across multiple business units.
Identify systemic developer productivity bottlenecks, translate opportunities into a 12–24 month technical roadmap, and execute design and build initiatives.
Architect cost models, metering systems, telemetry, and adaptive routing policies that balance model accuracy, latency, and operational spend across the engineering organization.
Plan and technically lead initiatives across multiple engineering teams, establishing shared interfaces and platform contracts with Autonomous Coding, CI/CD pipelines, and Code Factory.
Identify and remediate root causes of complex architectural bottlenecks involving latency, throughput, state management, and dependencies across distributed systems.
Assess emerging AI tooling and foundational models and recommend vendor-neutral, future-proof integration patterns.
Lead department-level technical planning, establish architectural RFC standards, and facilitate design reviews across product areas.
Set production standards for resilience, testing, and deployment; coordinate responses to high-severity incidents and drive post-incident reviews toward root-cause prevention.
Coach and develop Senior (IC3) and Staff (IC4) engineers and foster a culture of craft, ownership, and psychological safety.
Share effective AI development workflows, specification templates, and evaluation guardrails to elevate team productivity.

Desired Qualifications

Experience designing or scaling internal developer platforms and developer tooling at enterprise scale is preferred.
Practical exposure to FinOps frameworks for tracking and optimizing cloud or AI compute spend is preferred.
Direct experience developing autonomous agentic workflows or deep integrations into engineering development lifecycle tools is preferred.
Background in financial technology, banking platforms, or regulated engineering environments is preferred.

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role:

SoFi's AI Platform team builds the foundation that lets every engineer at SoFi ship faster, safer, and with more leverage from AI. Our AI Developer Experience (AI DevEx) team owns SoFi's interactive coding strategy and the underlying infrastructure: AI economics, coding harnesses and harness vending, our evaluation platform, the AI Gateway, and intelligent model routing.

As a founding Senior Staff Software Engineer, you'll be the technical lead and subject matter expert for this area across AI Platform: setting architecture, shaping the interactive coding strategy, and leading work across Autonomous Coding, CI/CD, Code Factory, and our customer engineering teams.

What you’ll do:

Set Technical Direction: Define and drive the architecture for the enterprise AI Gateway, model routing, automated evaluation platform, and harness vending, ensuring seamless support for interactive and autonomous workflows across multiple business units.
Shape Strategy & Roadmaps: Proactively identify systemic developer productivity bottlenecks, translate opportunities into a 12–24 month technical roadmap, and execute high-impact design and build initiatives.
Lead AI Economics Engineering: Architect cost models, metering systems, telemetry, and adaptive routing policies that balance model accuracy, latency, and operational spend across the engineering organization.
Drive Cross-Group Initiatives: Plan and technically lead initiatives spanning multiple engineering teams; establish shared interfaces and platform contracts with Autonomous Coding, CI/CD pipelines, and Code Factory.
Resolve Architectural Deficiencies: Identify and remediate root causes of complex architectural bottlenecks (latency, throughput, state management, dependencies) across distributed systems.
Evaluate Build-vs-Buy Choices: Continuously assess emerging AI tooling and foundational models, recommending vendor-neutral, future-proof integration patterns.
Represent Group Architecture: Lead department-level technical planning, establish architectural RFC standards, and facilitate rigorous design reviews across product areas.
Raise Operational Excellence: Set production standards for resilience, testing, and deployment; act as a lead incident resolver capable of coordinating responses to high-severity incidents and driving post-incident reviews to root-cause prevention.
Mentor & Elevate Talent: Actively coach and develop Senior (IC3) and Staff (IC4) engineers, cultivating an engineering culture of craft, ownership, and psychological safety.

What you’ll need:

Education & Minimum Experience Requirements: Bachelor’s Degree + 4+ Years of Experience OR Master’s Degree + 3+ Years of Experience in software engineering, computer science, or a related technical field.
Proven track record of technical leadership on software initiatives spanning multiple teams and complex distributed architectures.
Adept system design capability with large-scale, high-availability distributed systems, platform infrastructure, and cross-domain APIs.
Hands-on engineering experience building with LLM-based architectures, model APIs, and AI-assisted development tools (coding agents, developer harnesses, prompt/context evaluation, tool integration).
Hands-on experience designing or operating model evaluation pipelines, AI proxies/gateways, or dynamic routing systems.
Demonstrated ability to analyze infrastructure unit economics, capacity trade-offs, and operational telemetry.
Exceptional communication and cross-functional leadership skills, with a track record of driving technical alignment across engineering squads and leadership.
Commitment to engineering best practices, security guardrails, data privacy, and maintainable software design.

AI-Assisted Engineering Expectations:

Use AI tools responsibly to accelerate prototyping, explore new architectures, and streamline ramp-up across new domains.
Review AI-generated code and architecture critically, enforcing rigorous automated testing, safety, and long-term maintainability.
Adhere strictly to data-handling and security protocols to safeguard proprietary and member data.
Elevate team productivity by sharing effective AI development workflows, spec templates, and evaluation guardrails.

Nice to have:

Experience designing or scaling internal developer platforms (IDPs) and developer tooling at enterprise scale.
Practical exposure to FinOps frameworks for tracking and optimizing cloud or AI compute spend.
Direct experience developing autonomous agentic workflows or deep integrations into engineering development lifecycle tools.
Background in financial technology, banking platforms, or regulated engineering environments.

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.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].

We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Pay Range: $172,800.00 - $297,000.00
Pay Transparency Range: 172800.0 - 297000.0 USD

About the Company

SoFi

Lends money and manages bank accounts online

SoFi provides digital financial services for consumers and banking technology for businesses. The SoFi app brings together checking and savings accounts, personal and student loans, mortgages, credit cards, and investment accounts, with banking services provided by its subsidiary SoFi Bank. Its technology business, built through Galileo and Technisys and marketed as SoFi Tech Solutions, supplies payment processing and banking software to other institutions. The group earns net interest income from lending and deposits, plus fees from loan services, financial products, and technology contracts. SoFi was founded in 2011 and is headquartered in San Francisco, California.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: San Francisco, CA
Founded: 2011

Recently Posted Jobs

Explore more opportunities at SoFi

See more jobs