At a Glance
- Tasks: Create innovative AI systems for our rewards engine and tackle open-ended AI challenges.
- Company: Join Almedia, Europe's #3 fastest-growing company, aiming to become Germany's next unicorn.
- Benefits: Competitive pay, bonuses, and rapid career progression in a dynamic environment.
- Other info: Work in a vibrant office environment with relocation support to London or Berlin.
- Why this job: Be at the forefront of AI innovation and make a real impact on user engagement.
- Qualifications: Experience in building AI systems, coding in Python, and a passion for problem-solving.
The predicted salary is between 72000 - 88000 £ per year.
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.
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 include 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.
- Open-ended AI problems, end to end. You'll take the fuzzy "could AI help here?" problems, deeply understand the underlying business logic and turn them into shipped agentic systems.
- Genuinely agentic systems: 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.
- 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.
- You've built real AI systems: you can code (Python), and you've shipped something genuinely agentic.
- 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.
- 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; 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.
AI Engineer - Data employer: ALmedia
Freecash.com is an exceptional employer for those seeking flexible and rewarding side hustle opportunities. With a vibrant work culture that encourages creativity and independence, employees can earn up to $400 per day while enjoying the freedom to work from anywhere at their convenience. The platform not only offers a variety of cash-out options but also fosters a community of over 50 million users, providing ample growth opportunities and a chance to be part of a highly rated online earning experience.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Data
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ALmedia or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ALmedia.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ALmedia.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ALmedia that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer - Data
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ALmedia.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ALmedia and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ALmedia
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ALmedia uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.