Description review

lovable | stockholm, london (in-person) | full-stack, frontend, backend, infra

lovable · full-stack, frontend, backend, infra · back to the listing

HR standards

21/100

poor

Title ↔ description

35/100

poor

Reads as

Full-Stack Engineer

95% confident

How others title the same work

Large employers

  • Software Development Engineer, Influencer Management Adobe
  • Senior Software Engineer (EAA) Coinbase
  • Senior Software Engineer, Full Stack (Coinbase Advisor - Agentic Trading) Coinbase
  • Senior Software Engineer (Typescript), AI Clients: Duo CLI GitLab
  • Grafana Labs | Senior/Staff Software Engineer - AI / Agentic apps | 100% Remote (US + Canada) | Grafana Labs

Startups

  • Founding Software Engineer Aglide
  • Product Engineer (Founding team) Aglide
  • AiMi | Full Stack AI Engineer | Remote(Everywhere) | Full-time AiMi
  • Staff Software Engineer AiPrise
  • ALBERT | REMOTE ALMOST ANYWHERE IN THE WORLD | Hiring principal and distinguished ALBERT

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
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

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.

design, and ai research

we sponsor visas and have very generous relocation packages.
lovable is building an agentic technical co-founder, we are the best way for non-technical people go from idea to a real software business with paying users. we need the best engineers in the world to join us and will compensate you accordingly.
learn more at: https://lovable.dev/careers,
https://lovable.dev/blog, or ping me on https://x.com/cviktore

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: 16 points (from 37 before penalties). Reviewed 21 Sep 2026.