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CastaigroupTechnology

Senior ML Engineer | Kimchi (Inference Stack Optimization)

Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdomonsitesenior

via Greenhouse

About this role

Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves. Kimchi Inference One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead.…

Read the full description on Castaigroup's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, clickhouse, kubernetes, serverless, grafana…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonclickhousekubernetesserverlessgrafanaprometheusopentelemetrysparkpytorchgitlabteams

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