SYMMVIAMEDICINE REIMAGINED
CareersOpen nowEngineering

Founding AI / Data Engineer

Build the data flywheel, evaluation systems, and AI workflow layer from the beginning.

Team

Engineering

Location

US hybrid or remote, depending on qualification

Experience

4+ years, with strong evidence of production AI or data workflow ownership

About Symmvia

Symmvia is building a high-trust care platform across public web, authenticated web, and a patient mobile app.

The product includes identity, permissions, billing, messaging, booking, provider workflow, and the data infrastructure required to make the system smarter over time.

We care about clear systems. Auditability, access control, operational clarity, and careful product design matter as much as speed.

About the role

This role owns the intelligence layer of the platform. You will build the event model, analytical exports, AI-assisted workflow services, and evaluation loops that help Symmvia learn from intake, messaging, provider actions, and operational outcomes. The work is not about model demos. It is about building a durable feedback system that makes the product smarter over time.

In this role, you will
  • Design the event and analytics model that powers the data flywheel.
  • Build Python services for summarization, classification, routing support, and evaluation.
  • Own model input and output logging, prompt versioning, and human-review feedback loops.
  • Create governed data pipelines from operational systems into analytical storage.
  • Work with engineering and the founder to identify where AI creates real leverage.
  • Establish an evaluation discipline that distinguishes useful systems from noise.
You might thrive if you
  • You know the difference between model access and product advantage.
  • You care about evaluation, review loops, and longitudinal product intelligence.
  • You want AI to improve real systems rather than decorate them.
  • Experience in regulated or high-trust domains is strongly preferred.
  • Healthcare-adjacent workflow experience is a plus.
Required capabilities
  • Strong Python and production data pipeline experience.
  • Experience building AI-assisted product workflows, not just prototypes.
  • Ability to design evaluation loops, feedback systems, and model quality checks.
  • Strong data-modeling judgment.
  • Comfort working alongside a TypeScript product stack and product engineers.
Compensation

Competitive for the role.

How to apply

Send us one thoughtful email.

If this role fits, email us directly. Please include the items below. If something does not apply, say so plainly. We care about signal, not performance.

Submission checklist
  • First name
  • Last name
  • Voluntary self-identification
  • Email
  • Country
  • Phone
  • PDF of your resume or CV (required)
  • A few bullet points that best evidence exceptional ability (required)
  • How to pronounce your name, if applicable
  • LinkedIn profile
  • GitHub URL
  • Personal website
  • Publications
  • Google Scholar profile, if applicable
  • Preference for working in person versus remote
  • Earliest date you can start
  • Any deadline or timeline considerations we should know about
  • A short answer to: Why Symmvia?
  • Optional cover letter
  • Anything else you would like to share, including a relevant project