Founding AI Engineer @ Embedded AI Efficiency Layer, Berlin
Berlinonsitemid
Posted today · via Recruitee
About this role
This is an Atlantic portfolio venture. About the Venture AI is being integrated into more products every month, and every interaction consumes tokens. As usage scales, costs add up quickly. The first race was adoption. The next is efficiency: inference costs increasingly determine what companies can afford to build and ship. We’re building the efficiency layer for production AI. Our systems make AI dramatically leaner, reducing token usage and lowering the cost of every interaction without compromising the quality standards that matter. Over time, we aim to improve both cost and quality, so companies can do more with AI rather than choose between better performance and a healthier bottom line. We closed our pre-seed in just three weeks and are now preparing our first customer pilots.…
What we'd score you on
reqspace match rubricFive 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: typescript, python, postgresql, kubernetes
2
Level fit
This role is mid-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 Berlin. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
typescriptpythonpostgresqlkubernetes
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