Founding AI Evidence Engineer

About Tessel

Tessel is building the evidence infrastructure for safety‑critical AI — the system that proves a model works, and keeps proving it.

The hard part in safety‑critical sectors isn’t building models — it’s proving to stakeholders that they’re safe and effective. Today, regulated AI vendors spend significant time and money assembling evidence for regulators, buyers, and payers across approval, procurement, and reimbursement — then repeat the process with every major model update. That friction is the tax on every AI product in healthcare, financial services, and autonomous systems, and it’s only growing as regulation tightens.

We’re building the infrastructure layer that makes evidence generation continuous instead of reactive. Starting with diagnostic medical imaging, where assembling evidence about AI behaviour is a real pain point today.

You’ll work directly with customers preparing 510(k) or De Novo submissions for imaging AI, running evidence investigations on their models and data to surface failure modes, edge cases, and drift, then codifying that into reusable methodologies and pipelines. The evidence feeds internal development decisions, regulatory go/no‑go calls, and hospital governance conversations.

One of very few roles where technical depth plus pragmatism translates into outsized real‑world impact.

• Work directly with medical imaging companies preparing FDA 510(k) or De Novo submissions, and with hospitals evaluating those models.
• Turn vague customer questions into specific investigations, run them in one‑to‑two‑week cycles, and surface failure modes, edge cases, and drift.
• Produce evidence customers use for development, regulatory, and hospital governance decisions.
• Codify recurring workflows into methodologies and pipelines that become the product.
• Help shape how we run engagements as the team grows — cadences, standards, hiring.