Founding Engineer

US healthcare spends well over $1 trillion a year on administration. We are building AI agents that take on that work from start to finish, across scheduling, referrals, eligibility, prior auth, revenue cycle, and more.

Our ambition is bigger than automating individual tasks. We want to build the operating layer that lets healthcare organizations run with dramatically less administrative overhead.

We are still early. Healthcare is only beginning to adopt AI for core operations. Join a small team from MIT, Harvard, and IIT building what we believe will become a fundamental part of how healthcare gets work done.

Our team came out of MIT research labs, quant funds, big tech, consulting, and early-stage companies. We keep the team small and the hiring bar high.

We don't hand off problems. We own them.

Everyone at Sakura is expected to understand the problem, make decisions, and drive work all the way to a real-world result. Scope matters less than impact.

We don't hand off problems. We own them.

Everyone at Sakura is expected to understand the problem, make decisions, and drive work all the way to a real-world result. Scope matters less than impact.

Healthcare has waited long enough.

We move quickly, make decisions with incomplete information, and put working products in front of users early. Speed doesn't mean lowering the bar. It means shortening the path to learning.

The best answers aren't found in a conference room.

We listen to calls, watch workflows, talk directly to operators, and dig into the messy details of how healthcare actually works. Everyone is expected to understand the people and systems we're building for.

We care deeply about the quality of the work, not who gets credit.

We challenge each other directly, change our minds when the evidence changes, and expect exceptional work from ourselves and each other.

A demo working isn't the same as healthcare working.

Our agents have to operate across legacy systems, payer portals, phone trees, faxes, edge cases, and high-stakes workflows. We value reliability and craft as much as cleverness.

Full time

Hybrid

Sakura Health builds AI agents that run front- and back-office operations for specialty practices. A referral arrives, an agent processes it; a payer needs a call, an agent makes it. Our agents work inside existing EHRs, phone systems, fax queues, and payer portals so staff can review completed work and spend more time on patients.

Our agents are running in production inside live practices across senior care, gastroenterology, and cardiology, with a growing set of customer deployments and channel partnerships underway. We are now building the commercial motion to scale them. We raised our seed round from Lightspeed, alongside angels from OpenAI, Sierra, Iterative Health, and Innovaccer.

You will join Sakura as an early engineer, working closely with our technical founders to turn practice workflows into dependable software. You will help decide what to build, own it through deployment and customer use, and shape the architecture and engineering practices future hires will inherit.

A referral may arrive incomplete, a payer portal may change, or an agent may need a staff member to resolve an exception. You will work directly with practice teams to understand these problems and build solutions that hold up in everyday use.

Own reliable delivery. Build Python services and APIs, deployment pipelines, and infrastructure as code. Use Docker with Kubernetes or ECS, with monitoring and alerting to diagnose failures and support growing usage.

Protect sensitive data. Implement encryption, access controls, and audit trails for protected health information and agent actions. Make security decisions explicit and support healthcare compliance requirements.

Shape the product. Spend time with clinic teams, identify where work stalls, and help the founders prioritize what to build. Ship focused improvements, observe how staff use them, and refine the product based on what works.

Set the engineering standard. Shape…