The Jev team at TypeSafe AI is hiring. The post includes a job link and asks applicants to prepare to answer questions about what they've tried with LLMs and limitations discovered.
Jev team is hiring @typesafeai https://jobs.ashbyhq.com/typesafe-ai Be prepare to respond: What have you tried to get working technically with an LLM, and what limitations did you discover?
The author tested Jev on a benchmark of 1,565 German and English business emails from industrial suppliers across 10 categories, finding it less accurate than Gemini, but focused on where the errors occurred and still plans to put it into production.
Aaron Levie says Jev helps agents make split-second decisions in workflows, data classification, and judgment calls, with a Box and Jev demo pulling an incident report from Box.
Fatih Yildiz says TypeSafe AI's Jev looks promising for observability decision model use cases, noting latency adds up when using frontier models at edge_delta for operational priority scoring and event routing, and is testing Jev.
