Agentic Platform Engineer (gn) @ AI Venture, Berlin
- Compensation
- Not disclosed
- Location
- Berlin, Berlin, Germany
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Experience building and operating production systems: several years of backend engineering with real users, typically three to six, and meaningful ownership of what you shipped.
- Strong Python fundamentals: confidence with async code, typing and testing. TypeScript experience is a plus.
- Agentic engineering as a default way of working: you have hands-on experience using coding agents as a core part of your engineering workflow. You know how to break down problems, delegate and paralle
- Platform engineering depth: practical experience with Postgres, Redis, queues, networking and Terraform. Kubernetes experience is useful, particularly for our GPU infrastructure.
- Sound engineering judgement: clear APIs, tenant isolation, data integrity, partial failure and safe rollouts. You can explain both your decisions and what you chose to leave out.
- A working understanding of ML systems: familiarity with LLMs, embeddings, evals, model serving and fine-tuning. Experience with LLM APIs, streaming and token costs is a strong plus.
- A disciplined approach to measurement: you benchmark changes, question assumptions and use evidence to understand whether an improvement holds up.
- Initiative and drive: you enjoy getting deep into a problem, finding a way forward and putting in the work to make it happen.
- This is an experienced individual-contributor role, with ownership of the capabilities you build and close collaboration across the founding team.
- Fluent English is required; German is a plus.
Full description
This is an Atlantic portfolio venture.
About the Venture
AI 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 Role
As 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. You will also work alongside our founding AI engineer on evals, embeddings and open-weight model serving, bringing platform engineering depth to the ML side of the product.
Agentic engineering is central to how we work. You will operate in an agentic way by default, using coding agents as a core part of how you design, build, test and ship software. You'll develop the harnesses and workflows that allow you to delegate and parallelise work effectively, increasing what a small engineering team can deliver. This requires strong coding fundamentals and the judgement to review, challenge and take responsibility for everything that reaches production.
There is a lot to build and an ambitious timeline ahead. We work with intensity, move quickly from decisions to execution and value people who take initiative and see things through.