AI Platform Engineer
Oneapp, United States (remote)
- Pay
- $150K – $190K • Offers Equity
- Work type
- Remote
- Level
- Not stated
- Area
- ML / AI engineering
- Posted
- Sep 9, 2026
About the role
ABOUT ONEPAY
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
THE ROLE
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.
WHAT YOU’LL DO
- 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.
YOU BRING
- 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).
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Listed on Oneapp's Ashby job board; checked 26 h ago. First seen by us 28 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.