The future is forward deployed
A 4-week residency that turns ambitious builders into Forward Deployed Engineers.
In a time where AI can produce 90% of the code, the real advantage is knowing what to build, not how.
You'll scope real business problems, direct AI to solve them, and ship production-ready software faster than ever.
By the end, you join Arogya as a Forward Deployed Engineer, shipping systems that help healthcare practices scale and better serve their patients.
Who this is for
You've built real projects
Side projects, open source, freelance, or production work. You've shipped something that solved a real problem.
You like working with people
You're technical, but you can also talk to business owners and understand how they operate. IQ and EQ both matter here.
You're comfortable without a spec
Most of what you'll work on doesn't have a clear answer yet. You'd rather scope the problem yourself than execute someone else's plan.
Four-week curriculum
Week 01
AI-native build workflow
Build against replica practice data using our AI-assisted workflow. Learn how we review, correct, and ship production-quality output.
Week 02
Systems audit and scoping
Map operational bottlenecks at a multi-location practice group, identify high-leverage work, and write a clear build spec.
Week 03
Integration and delivery
Own a connector into a practice management system and integrate against messy, real-world data.
Week 04
Deploy and handoff
Ship to production, support operators through go-live, and hand off a system the team can run on their own.
Frequently asked questions
Arogya is a Massachusetts-based company that builds data integration, analytics, and AI platforms for mid-market healthcare groups.
An FDSE is a cross between a software engineer, a business consultant, and a product manager.
Palantir coined the model over two decades ago, embedding engineers with clients whose problems were too messy to spec out in advance. Since then, top labs like OpenAI, Anthropic, and Google have hired hundreds of them.
The role was built before AI could write code. Now that it can, that same instinct of knowing what to build matters more than ever.
Yes. There is no tuition. Residency is how we hire and train forward deployed engineers.
We especially encourage ambitious college students, but age and school status do not ultimately matter. If you can ship real software and want to make an impact, you can apply.
Yes. You should already be comfortable writing software and have shipped something real. This is not an introductory program.
Admission is assessment-gated. We're testing less for how much you already know and more for how you handle an ambiguous problem with no clear spec, since that's most of the actual job.
This is a full-time commitment for four weeks. It is not designed to run alongside another job or a full course load.
Mostly remote. Some work may include on-site time with a practice group depending on the cohort and engagement.
Apply through the form on this page. After you submit, we send you the full application. If there is a fit, we schedule a call, then follow up for the upcoming cohort.