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When a staffing firm or high-volume employer signs with Onboarded, the contract is the starting line. Their compliance work has to run, and run right: I-9 and E-Verify, background checks, state and federal forms, tax credits, union agreements, credentials. Every customer's version is different. We're looking for engineers to embed with our direct customers and build those workflows end to end.
You'll be embedded in two or three strategic customer accounts at a time. You learn how their hiring actually works across states, worker types and systems, then build it on Onboarded: forms as code, policies, automations, and integrations to their ATS, HRIS and payroll. You own the build from first discovery through go-live, and you answer for how fast the customer goes live and whether the work is right. Sales opens the account. Customer Engineering supports it at steady state. You build in the middle.
Onboarded is the API for the workflows that have to be right. We never built I-9 as a feature. We built primitives, and every customer build turns implementation into code we reuse. What you build for one customer becomes a package for the next, and what you learn in the field shapes the roadmap.
We're casting a wide net. Maybe you've been a forward deployed engineer at an AI or data company, a solutions engineer who writes real code, an integration engineer, or a founder. What matters is that you ship production-quality code, you're energized by messy customer problems, and you use AI as a force multiplier.
Experience in staffing, ATS or HRIS software, payroll, or employment compliance (I-9, E-Verify, background checks, tax forms) is a strong signal but not required. Learning velocity and an AI-first approach to closing the gap count just as much.
This role is not a fit for someone who wants a ticket queue, or who wants to write code far from the people who use it. It is for engineers who want to own the outcome and see their work run in the real world.
Send a short introduction + your resume, LinkedIn or GitHub to careers@onboarded.com. Include how you use AI tools in your day-to-day work, and one story about something you built inside a customer's environment: what was messy, what you built, and what it changed. Bonus points if you tell us how you'd decide whether a customer request should be a one-off configuration or a reusable package.
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