Description review

Stealth (B2B AI for MedTech) | Founding Engineer (AI / RAG,

Stealth (B2B AI for MedTech) · Remote · back to the listing

HR standards

52/100

needs work

Title ↔ description

53/100

needs work

Reads as

Backend Engineer

97% confident

What this role officially is

software developer — ESCO, the EU occupation classification

Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.

Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer

How others title the same work

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What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

backend-leaning)| Hybrid (preferred Berlin Germany, & EU) | Part- or Full-time

We're an early, stealth B2B startup — a Berlin GmbH — bringing reliable,
AI-native expertise to the medical-device world, helping the experts who get
life-saving innovation to market. Small team, real MVP in progress.
You'd be our first founding engineering member: hands-on building the product alongside
our senior eng lead, owning big parts of the backend — Python, RAG, and agentic
workflows — and growing with the company.
For someone who ships, is genuinely drawn to MedTech and to making expert
knowledge accessible, and wants an entrepreneurial role with meaningful equity
and broad ownership. Part- or full-time to start; happy to share the full
picture over a call.
Email me at [email protected] — and tell me one thing you've built.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 64 before penalties). Reviewed 21 Sep 2026.