The RoleAs a Forward Deployed Engineer at OnePay, you will act as a technical strike force, embedding within functional teams to identify, design, and build the agentic systems that power our internal operations. You will bridge the gap between high-level AI strategy and production-grade engineering, helping non-technical teams automate complex workflows and 10X their impact through intelligent tooling.
What You'll Do- Ship production-grade AI agents and automation workflows that solve high-stakes business problems in cross-functional orgs like Finance, Legal, and People.
- Collaborate shoulder-to-shoulder with Subject Matter Experts to translate manual business processes into performant, reliable technical specifications and agentic architectures.
- Rapidly prototype and deploy end-to-end solutions using Python and modern AI frameworks (LLM APIs, RAG patterns, and agentic SDKs), with clear ownership from discovery through production.
- Build and maintain robust integrations between OnePay's core SaaS stack (Salesforce, Workday, etc.) and custom AI services, ensuring data integrity and security.
- Empower and educate internal partners, acting as a technical force multiplier to help non-technical teams adopt AI-first mindsets and build their own automated agents.
- Instrument monitoring and guardrails to ensure all AI-driven workflows are secure, compliant, and resilient at scale - including appropriate handling of PII, access control design, audit logging, and coordination with Legal and Security review processes.
- Design and run evaluation frameworks to validate agent accuracy, reliability, and regression behavior before and after production deployments.
- Lead structured discovery sessions with business stakeholders to surface requirements, assess feasibility, and produce clear technical scopes before a single line of code is written.
- Create reusable playbooks, architecture decision records, and handoff documentation so that the teams you work with can maintain and extend what you build.
You Bring- 5+ years of professional engineering experience, with a proven track record of shipping production code that users depend on every day.
- Hands-on expertise with modern AI tooling, including deep experience with LLM APIs, agent frameworks (LangGraph, Claude SDK), and developer productivity tools like Cursor or Claude Code.
- Familiarity with LLM evaluation techniques - including prompt regression testing, human-in-the-loop review, and automated eval pipelines.
- Strong Python proficiency (or TypeScript/Go equivalent) with the ability to write clean, maintainable, and well-tested code within a shared codebase.
- A "Product Mindset"-you don't just close tickets; you proactively find friction points, design the solution, and can run working sessions and present trade-offs credibly to audiences ranging from individual contributors to senior leadership.
- Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS).
- Drive and proactivity-everyone here is a builder and executor; you are comfortable "walking across org lines" to get things done.
Tools We UseWe 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.
What We Offer- 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
Standard Interview Process- Initial Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
