Forward Deployed Engineer – AI and Automation

Job not on LinkedIn

🕒 May 19

🇺🇸 United States – Remote

💵 $170k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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OnePay

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

🏦 Banking

₿ Crypto

💰 $300M Series unknown on 2025-01

Fintech • Banking • Crypto

OnePay is a U. S. -based financial technology company that provides consumer-facing banking and payment products through partner banks. The app offers checking/savings with early pay and high-yield savings, a credit-builder program and secured Builder Mastercard, a CashRewards card with Walmart-focused cashback, investing and cryptocurrency trading, a digital wallet, pay-later options, and free tax filing for customers. OnePay partners with Coastal Community Bank, Lead Bank, Synchrony, and other providers for banking, card issuance, lending, and custody services; it is not itself a bank.

📋 Description

• 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