Applied AI Engineer

Applied AI Engineer

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Soulside AI · US On-Site · Reports to the CTO

About Soulside

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Soulside AI is the specialist AI platform for behavioral health documentation and compliance. We generate audit-ready clinical documentation across individual and group sessions, virtual and in-person care, admissions, and treatment planning—and we embed real-time chart audits and payer-aligned compliance checks into everyday workflows. The result is immediate and measurable: higher-quality charts, stronger medical necessity, and hours given back to clinicians every week.

We're backed by Counterpart Ventures, GreyMatter Capital, and One Mind, and we're a UCSF Rosenman Institute and One Mind Accelerator company. We've reached strong product-market fit and are scaling fast.

The Role

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We're looking for an Applied AI Engineer to own the model layer that makes Soulside's documentation trustworthy. In behavioral health, a note isn't just text—it has to be clinically sound, defensible for medical necessity, and safe. Your job is to build the post-training pipelines and evaluation systems that get our models there, and keep them there as we scale.

This is a hands-on role for someone who lives at the intersection of applied ML and product. You'll fine-tune and adapt open-source models, stand up the infrastructure to serve them, and build the rigorous evaluation sets that tell us—objectively—whether a change made the product better or worse.

Why This Role Matters

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• Accuracy Isn't Optional: In behavioral health, a wrong or unsupported note has real clinical and financial consequences. The pipelines and evals you build are what let us ship model changes with confidence.
• Own the Model Layer: You'll define how we post-train, evaluate, and deploy models end-to-end—not inherit someone else's stack.
• Direct Clinical Impact: Every improvement in clin