AI Platform Engineer

• 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
• We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. While you don’t need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly

Benefits

• Competitive health benefits: Medical, dental, and vision plans, pluss wellness perks.
• Flexible time off: Rest, recharge, repeat.
• Paid employee leave: Sick, personal, caregiver, bereavement, ans parental.
• 401k plan: With employer match.
• Monthly work-from-home stipend: To cover those home office expenses.
• Remote-first culture: Work anywhere in the US.

• 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)
• 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
• 5+ years of professional engineering experience shipping production code to write clean, maintainable, and well-tested code
• Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS)

• AI-assisted initial screen
• Interview with Talent Partner
• Technical or Hiring Manager Interview
• Team Interview
• Executive Interview
• Offer!