About the Role

We’re looking for a Forward Deployed Engineer to work directly with mdhub’s most important customers, deploying, configuring, and scaling the first AI-native operating system for behavioral health clinics. This role lives at the intersection of engineering, product, and customer success.

mdhub is a full-stack platform where AI workers and clinical teams work together across admissions, clinical operations, and billing. Emma handles clinical documentation across millions of sessions. Sarah books patients into care 24/7. Eric 10x’s billing teams with AI-powered coding and claims. Our EHR, CRM, and RCM products tie it all together in one place. Your job is to make this entire system work seamlessly inside each customer’s environment.

This is a high-trust, high-autonomy role where you represent mdhub’s technical excellence on the ground. You’ll work directly with the founding team and be instrumental in shaping how our platform scales across diverse clinical environments.

What You'll Do

Build and deploy mdhub's AI workers (Emma, Sarah, Eric) in customer environments - tuning model behavior, building custom prompt pipelines, and engineering the data flows that connect AI outputs to downstream systems like EHRs and claims engines.
Build and maintain integrations between mdhub's platform and customer systems - EHRs, billing clearinghouses, scheduling APIs, and internal data pipelines - writing production code that handles real clinical data reliably.
Write internal tooling, scripts, and automation that accelerate deployments - CLI tools, migration scripts, data validation pipelines, and monitoring dashboards that the team reuses across accounts.
Debug complex production issues across the full stack - tracing failures across AI inference, API layers, third-party integrations, and customer infrastructure under real-time clinical pressure.
Design and implement data migration pipelines that move clinics off legacy systems onto mdhub - transforming, validating, and loading patient records, billing histories, and clinical data at scale.
Instrument deployments with logging, alerting, and observability so the team knows exactly how AI workers are performing in each clinical environment - surfacing accuracy, latency, and adoption metrics.

Requirements

You’re a strong engineer who thrives in the field you’re as comfortable in a standup with clinicians as you are debugging a production issue.
You have experience with integrations, APIs, and working across complex software environments - healthcare, EHR, or clinical workflow experience is a strong plus.
You’re excited about AI - you want to deploy AI workers into real clinical environments and see them transform how clinics operate.
You’re a builder who ships fast - you write clean, pragmatic code and don’t let perfect get in the way of done.
You operate like a founder - ownership, no excuses, full accountability.
You’re an exceptional communicator - you can explain technical concepts to non-technical stakeholders and earn trust quickly.
You thrive in ambiguity - you create structure and clarity in novel situations without waiting for instructions.
You’re relentlessly resourceful - you solve problems independently and figure things out on the fly.

Bonus

Background in healthcare or behavioral health.
Exposure to working with large clinics.

About the company

We’re building the AI workforce for healthcare clinics, starting with mental health.

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