Forward Deployed EngineerRemote

The Rawlings Group; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Machinify is hiring Forward Deployed Engineers to sit at the intersection of our product and our customers' hardest problems. You'll embed with customer teams, understand their workflows deeply, and build, configure, and deploy solutions on top of our platform that actually move the needle.

You’ll prototype quickly, then harden what works: data integrations, internal tools, ML pipelines, custom UIs, automation.

Qualifications

• Generalist engineering with ability to work across stack (backend, data, frontend when needed).
• Ability to understand customer workflows and translate into buildable solutions.
• Wear multiple hats and ship features with minimal specs.
• Willingness to travel 25-50% depending on engagement.

Responsibilities

• You'll embed with customer teams to identify problems and build production solutions on top of our platform.
• You'll prototype quickly, then harden what works: data integrations, internal tools, ML pipelines, custom UIs.
• You'll own outcomes end-to-end from initial discussions to production deployment.
• You'll advocate for platform changes based on customer feedback.

Skills

Backend development

Data pipelines

ML pipelines

Distributed systems

Frontend basics

Tools

Cloud services

Docker

CI/CD

Job description

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content‑rich, AI‑powered platform along with best‑in‑class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

We're hiring Forward Deployed Engineers (FDEs) to sit at the intersection of our product and our customers' hardest problems. You'll embed with customer teams, understand their workflows deeply, and build, configure, and deploy solutions on top of our platform that actually move the needle. This isn't traditional implementation work - you'll write production code, design data pipelines, and ship features that often make their way back into the core product.

What you'll do

You’ll spend significant time on‑site (or deeply async) with customer teams — engineers, analysts, operators, executives — to figure out what's actually broken and what's worth building. You’ll prototype quickly, then harden what works: data integrations, internal tools, ML pipelines, custom UIs, automation. You’ll own outcomes end‑to‑end, from the first whiteboard session to the version running in production six months later. You’ll bring real signal back to our product and engineering teams, advocating for the platform changes that would have made your job easier. And you’ll do all of this without a clean spec — figuring out the problem is half the work.

What we're looking for

Strong generalist engineering chops. You can move comfortably across the stack — backend services, data work, frontend when needed, infra when forced. We don't care which languages, but you should be the kind of person who picks up a new one in a weekend if the job calls for it.

Customer instinct. You can sit in a room with a non‑technical user, ask the right questions, and translate what you hear into something buildable. You don't get defensive when feedback is messy. You can push back on a customer when their ask is wrong, and they'll thank you for it.

High agency and tolerance for ambiguity. You're allergic to waiting for permission. When the path forward isn't clear, you make a call and ship something. You're comfortable being the only engineer in a room of stakeholders.

Bias toward shipping. You’d rather have a working v0 in front of a user on Friday than a perfect design doc on Monday.

Nice to have: prior experience as a founder, early engineer at a startup, consultant at a top firm, or in roles where you owned a customer relationship technically. Background in data engineering, ML, or distributed systems. Willingness to travel — typically 25‑50% depending on the engagement.

Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E‑Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/