Forward Deployed Engineer (Senior)

Substrate Artificial Intelligence for your medical billing team Forward Deployed Engineer (Senior) $125K - $200K • 0.05% - 0.50% • San Francisco, CA, US Job type Full-time Role Engineering, Backend Experience 3+ years Visa US citizen/visa only Connect directly with founders of the best YC-funded startups. Apply to role › About the role About Substrate Substrate ( is building the world’s first AI native BPO, starting with healthcare RCM. We’re focused on helping healthcare enterprises like physician groups, EMR providers, and BPOs accelerate AR, and get reimbursed quickly and cost effectively. We already touch over 6m claims/yr. The Role We're looking for an exceptional Forward Deployed Engineer to help large healthcare organizations safely and productively deploy AI within mission critical RCM workflows including AR Follow up, Payment Reconciliation, Lockbox Automation, Collections Management, Appeals management, and more. You'll be instrumental in ensuring high quality deployments are delivered on time, measured well, coordinated with change management, and continuously optimized and improved as we scale. What You'll Work On Problem Definition & Solution Design: deeply understanding A client's needs and articulating them in a way that our team can clearly understand and rethinking clients' workflows from first principles in an AI-native way. Productize Onboarding & Implementation : Create onboarding and implementation workflows and playbooks that enable us to onboard many, many more enterprise-scale clients in parallel at once with a results orientation. Manage Deployments and Support Operations: scalably deploy agents in mission critical environments with extremely sensitive data, alongside a small dedicated team. Build Trust: Act as a trusted advisor to healthcare organizations navigating the rapidly changing AI landscape. You Might Be a Fit If You have a track record of independently building and shipping ML/AI products that solve real business problems Deep experience with modern LLM architectures, fine-tuning approaches, and utilizing evals at scale You either have healthcare domain knowledge already, or you’re excited about using AI to automate the tedium in healthcare Excellent communication skills and experience working directly with enterprise customers, in a front facing role Ability lead cross‑functional engineering efforts and deliver production systems You’re excited about working in person, in San Francisco. Compensation Meaningful salary and equity available. We’re building a small, tight knit team whose motivated to win together. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates meet every single qualification. If you’re experiencing imposter syndrome and doubting the strength of your candidacy, please don’t exclude yourself prematurely. Slope often matters far more than intercept. About the interview We want you to show us something you've built. It can be completely by hand or it can be completely AI-generated, but we want you to explain exactly how it was built, show us what prompts you used, and in particular why you picked this problem to solve, and show us the results. Your technical interview will feature both a pure technical part that evaluates your coding abilities and your ability to write and review code, and an AI‑assisted part that shows how you are adopting AI technologies in your coding practice and what benefits you've gotten from them. About Substrate Substrate is building browser based AI agents for healthcare RCM. Our goal here is to augment and replace employees, not replace any particular software a provider uses. We’ll go after the $14b outpatient RCM market, and if we’re successful, providers will finally start getting paid fairly. We’re the right team for this problem with deep healthcare, AI & fullstack engineering expertise, multiple startups under our belt between us, and a deep network in healthcare that will help bootstrap the first customers and real revenue. #J-18808-Ljbffr