Almedia

AI Engineer - Data

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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
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.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT MySQL Python Sales SQL UI design Mid level

Likely questions

  1. Tell us about work you have done that is close to the AI Engineer - Data role.
  2. How would you approach your first 30 days at Almedia?
  3. Which of MySQL, Python and Sales have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with MySQL, Python and Sales.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the AI Engineer - Data role because I can bring practical experience in MySQL, Python and Sales, learn the team quickly, and contribute to the outcomes Almedia needs from this hire.

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