AI Platform Engineer

OnePay is the consumer fintech trusted by millions of Americans to make money better.

Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.

We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.

We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.

But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:

• Ready to run

• Hungry and driven by urgency

• Exceptional at what they do, with low ego

• Comfortable operating in motion

As a Platform Engineer (AI & Automation) at OnePay, you are the technical force responsible for transforming AI strategy into production reality. You will embed within cross-functional teams to design, build, and deploy the agentic systems and intelligent tooling that automate complex workflows and 10X their impact.

• Operate as an AI-native engineer, utilizing tools like Cursor and Claude Code to rapidly prototype, deploy, and ship production-grade AI agents and automation workflows that solve high-stakes business problems in cross-functional organizations.

• Lead structured discovery sessions with business stakeholders and Subject Matter Experts to surface requirements, assess feasibility, and translate manual processes into clear, performant technical specifications and agentic architectures.

• Build, maintain, and secure robust integrations between the core SaaS stack and custom AI services, instrumenting monitoring, guardrails, and evaluation frameworks to ensure all AI-driven workflows are accurate, compliant (including PII handling and audit logging), and resilient at scale.

• Act as a technical force multiplier by empowering and educating internal partners to adopt AI-first mindsets, and create reusable playbooks, architecture decision records, and handoff documentation to enable teams to maintain and extend what you build.

• 5+ years of professional engineering experience shipping production code to write clean, maintainable, and well-tested code.

• Hands-on expertise with modern AI tooling, including LLM APIs, agent frameworks (LangGraph, Claude SDK), developer tools (Cursor/Claude Code), MCP server development, and familiarity with LLM evaluation techniques (prompt regression testing, human-in-the-loop review, and automated eval pipelines).

• Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS).

• A "Product Mindset"—proactively finding friction points, designing solutions, and presenting trade-offs to all audiences—along with the drive and proactivity to "walk across org lines" to get things done.

We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.

• Competitive base salary, stock options, and health benefits from Day 1

• 401(k) plan with company match

• Remote-friendly (US), flexible time off (FTO), and opportunities for growth

• A high-growth, mission-driven, inclusive culture where your work has real impact

Our process varies by role. Most candidates go through:

• AI-assisted initial screen

• Interview with Talent Partner

• Technical or Hiring Manager Interview

• Team Interview

• Executive Interview

• Offer!

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [email protected].