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Platform Engineer (gn) @ AI Efficiency Venture, Berlin

CompraTica Empleos

EMP:Technology
Berlin, Berlin, Germany
Tiempo Completo
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Descripción

This is an Atlantic portfolio venture.

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the VentureAI models have moved faster than most companies’ ability to put them to work

The capabilities are there; knowing how to combine them effectively is still catching up.

Frontier labs naturally put their own models first.

Companies often follow suit, asking one general-purpose model to handle ten very different jobs.

We believe there is far more to unlock in the models that already exist, even before the next generation arrives.

That is the opportunity we are building around.

We bring closed providers and open-weight models together behind a single API.

Our engine breaks requests into their component parts, routes each to the right model within a cost budget, fine-tunes on customer data and checks the result against agreed quality standards.

With no proprietary model to promote, we can choose the right combination for the task.

Lower costs matter because of what they make possible: giving a small team the freedom to build something that would previously have required a much larger one.

Our founder brings considerable drive, a hands-on approach and a strong sense of urgency to building the company.

Backed by Atlantic at pre-seed, we are growing the engineering team to bring the product into production, with people already waiting to use it.

About the RoleAs one of our first platform engineers, you will build the foundations that every product feature depends on: the gateway and router, usage and billing systems, customer key management and the European infrastructure underneath.

Much of that platform is still taking shape.

Working directly with the founder, CTO and founding AI engineer, you will help turn early architectural decisions into systems that remain reliable as the product grows.

You will take capabilities from design through to production, thinking through their APIs, failure modes, deployment, observability and ongoing operation.

In a team this small, building and running the system belong together.

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