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Concurrence is hiring a Senior Applied AI Engineer to own complete customer use cases from brief to production, shaping architecture and timelines. You will build scalable agent ecosystems that operate safely in clinical settings and integrate with major EHR systems, turning field patterns into platform capabilities.
You will lead cross-functional work with clinicians and customers, mentor engineers, and document solutions to enable reuse across the platform.
Concurrence (formerly Amigo) is building the platform healthcare organizations use to build their own clinical AI agents. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time.
Underneath our platform is the Health World Model, which unifies a health system’s data into a living, event-level record of every patient’s care. On top of it, agents handle work across the patient journey, from intake and scheduling to medication management and clinical decision support.
Our agents have supported more than 10 million patient encounters and are on track to grow tenfold this year. We run natively on Databricks, integrate with every major EHR, and are backed by Madrona, General Catalyst, and Optum Ventures. We’re about 35 people, working in person in New York and San Francisco.
Applied AI is where Concurrence meets the real world. Our core engineering team builds the platform. We take it into health systems and build what each customer actually needs on top of it, as durable software that runs in production.
As a Senior Applied AI Engineer, you own an entire customer use case, not a ticket or a slice of one. You take a deployment from brief to production. You make the architecture calls inside it, commit the timeline, and carry the outcome.
Success isn't your agent staying up. It's the customer's number moving: more intake handled, fewer denials, faster time to billing close.
Your work doesn't stop at one customer. We build custom first, on purpose. When the same shape shows up under two customers, you're the one who sees it, and the pattern you proved becomes part of the platform everyone builds on next.
Applied AI runs ahead of the platform, not behind it. Our field work is the R&D that decides what Concurrence becomes.
1. Patients Win, We Win
If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.
2. High Standards, High Care
We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas. Not despite our standards, but because of them.
3. Thoughtful Urgency
We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.
4. Intensely Measured
We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.