Forward Deployed Engineer – AI and Automation
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Job Description
Forward Deployed Engineer developing automation workflows for OnePay’s financial services platform. Collaborating with cross-functional teams to enhance operations using AI-driven technical solutions.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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
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