AI Engineer - Data
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s \#3 fastest\-growing company in 2025 (FT1000\).
We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.
AI Engineer \- Data
About Almedia
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Almedia is Europe's \#3 fastest\-growing company (FT1000, 2025\), bootstrapped and profitable from day one, and on track to become Germany's second bootstrapped unicorn. We reward our community of 80M\+ users for engaging with our advertisers' products, giving the world's biggest companies a new way to acquire and retain users. Our products: Freecash, Zave.IT, and Link.
This is our first dedicated AI Engineer in the data team: a hands\-on, build\-and\-ship role with unusually broad scope, right at the core of how our product works.
What you'll own
- The AI behind our rewards engine. We want to create our next generation of reward design system fully agentically. We want AI to look into the games, generate tailored offers, and evaluate them before they go live, replacing our current inflexible design.
- Open\-ended AI problems, end to end. Across the data org's verticals, from payer structures to user acquisition and beyond, you'll take the fuzzy "could AI help here?"problems, deeply understand the underlying business logic and turn them into shipped agentic systems, working directly with our Staff Data Scientists, our CTO, and leadership.
- Genuinely agentic systems: We want agents, pipelines, retrieval and evaluation, basically a claude code for reward design. You'll decide where AI belongs and, just as importantly, where it doesn't.
- The standard for how AI gets built here. As our first dedicated AI Engineer, the patterns, tooling and judgement you set become how AI\-fluent data scientists across the team work.
What you'll bring
- Own everything, take initiative: you take AI problems from a vague brief to a shipped, working system without being asked — "not my job" isn't in your vocabulary.
- Move fast: you start before you're ready, ship the small test, and iterate against real data.
- Raise the bar: your standards show up in the systems you ship, not in what you say.
- Focus on impact: you know when *not* to reach for AI, and can name the simpler thing you chose instead to protect what mattered most.
- AI\-native: agents, LLM pipelines, RAG and modern AI tooling are already part of how you build — and you can explain exactly how you've used them.
- You've built real AI systems: you can code (Python), and you've shipped something genuinely agentic — an agent, an LLM pipeline, at minimum a real RAG system — that got used, with solid engineering or applied\-ML foundations underneath, not just LLM calls.
- Bonus: adtech, marketplaces, recommendations/ranking, or high\-scale consumer products.
How we work
- Ownership from day one. You'll be trusted with real responsibility fast, and held to it.
- Intensity, rewarded. We move quicker than almost anyone, and pay, bonuses and progression reflect it.
- AI without limits. Best\-in\-class AI tooling, company\-paid, built into every team's workflow. Few companies give you this level of access.
- In person. We're 5 days a week in the office. Not local yet? We support your relocation to London or Berlin.
Tech stack
- Language: Python — the non\-negotiable.
- AI / LLM: modern LLM APIs and open models; agentic frameworks and orchestration (e.g. LangChain / LangGraph / LlamaIndex); RAG and vector search; evaluation frameworks / eval\-driven development; prompt and context engineering.
- Data \& infra: BigQuery and SQL over large behavioural datasets; cloud (AWS / GCP), containers, CI/CD.
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