Artificial Intelligence Engineer

Tenth Revolution Group; Stockholms kommun; Hybrid; SEK 700,000 - 900,000; Full time

Job summary

Tenth Revolution Group is seeking an AI Engineer in Stockholm to craft practical AI-powered solutions for real business challenges. You will work closely with clients, from discovery through deployment, translating complex problems into reliable, scalable systems.

The role emphasizes hands-on engineering, collaboration, and ownership—building production-ready AI, agents, and data integrations while learning from experienced AI leaders in a hybrid setup.

Qualifications

• 2+ years of professional experience in software engineering, AI engineering or a closely related role.
• Strong academic foundation and technical problem‑solving skills.
• Genuine interest in applying AI to real-world problems and building production systems.

Responsibilities

• Collaborate with clients to understand business problems and translate them into AI-powered solutions.
• Involve from discovery to deployment, delivering reliable systems in real environments.
• Develop AI agents, connect models to existing data and systems, and automate processes where needed.
• Balance deep technical work with communication to clients and stakeholders.

Skills

2+ years experience

AI engineering

Problem solving

Client communication

Tools

Python

Claude Code

Cursor

Azure

AWS

GCP

Job description

AI Engineer - Build AI that actually does something.

Stockholm | Forward-Deployed Engineering | AI, Software & Data

Forget building another impressive demo that never sees the light of day.

We're looking for people who want to take AI out of the playground and put it to work in the real world. People who get excited about figuring out how something could work, rolling up their sleeves, and then actually building it.

We're a small, ambitious AI consultancy working with organisations on some seriously interesting challenges. Our job is to turn AI's potential into working systems that solve real business problems - from automating complex processes to building intelligent applications that people genuinely use.

And we're growing. Which means we're looking for brilliant people to help us do more of it.

So, what would you actually be doing?

Think engineering meets problem-solving meets working directly with people.

You'll work closely with clients to understand how their businesses operate, uncover the problems worth solving, and turn those conversations into practical AI-powered solutions. You'll get involved from the early discovery stages right through to building, deploying and improving systems that need to work reliably in the real world.

That might mean developing AI agents, connecting models to existing systems and data, building intelligent applications, or figuring out how to automate a process that currently involves far too many spreadsheets, manual steps and frustrated people.

You'll need to be comfortable moving between the technical details and the bigger picture. One moment you're deep in the code; the next, you're talking to a client about what they're actually trying to achieve.

This isn't a role where someone hands you a perfectly defined ticket and tells you what to build.

You'll help figure out what the right solution looks like in the first place.

Who are we looking for?

Our ideal person is a Forward-Deployed Engineer (FDE): someone who combines strong engineering fundamentals with an instinct for solving problems, understanding users and getting things done.

You don't need to tick every single box. We care more about how you think, what you can build and the kind of person you are than whether your CV follows a particular template.

You might be a great fit if you:

• Have around 2+ years of professional experience in software engineering, AI engineering or a closely related technical role.
• Have a strong academic background and the technical foundations to tackle complex problems.
• Are genuinely AI-native. You actively experiment with modern AI tools and coding assistants, and you're interested in how they can change the way software gets built.
• Can write, understand and review code - not just prompt your way through a problem and hope for the best.
• Enjoy getting stuck into ambiguous challenges, learning quickly and taking ownership of the solution.
• Can talk to people, ask good questions and translate business problems into technical ideas.
• Want to build things that make it into production, rather than stopping at a promising proof of concept.

Coming from a different technical background? Still read on.

FDE is the closest match, but we're also very interested in exceptional Data Scientists and Data Engineers. If you have a strong technical foundation, a great academic track record, a real interest in AI and the ability to think beyond your specialism, we'd absolutely like to hear from you.

You don't need to have followed a conventional AI career path. You do need to be curious, technically sharp and excited about building.

The kind of technology you'll get your hands on...

The work is varied, but the common thread is modern AI engineering and building systems that are useful, reliable and ready for real-world use.

Expect to work with technologies and ideas such as:

• Python and software engineering - building applications, APIs and the systems around them.
• LLMs, AI agents and agentic workflows - moving beyond basic chatbot implementations.
• Modern AI development tools - experimenting with tools such as Claude Code and Cursor to build more effectively.
• Data engineering and integrations - connecting systems, preparing data and making information useful.
• Cloud infrastructure - working with Azure and production environments, with experience in AWS or GCP absolutely relevant too.
• Evaluation, security and reliability - making sure what you build actually works, and continues to work.

You don't have to be an expert in every technology listed. Strong fundamentals, the ability to learn and a genuine appetite for modern AI matter more than a checklist of frameworks.

Why this opportunity?

You'll learn from people who've been doing this for real.

Work closely with experienced AI leaders who have delivered enterprise-scale AI solutions and know what it takes to get from an idea to something businesses can depend on. This is a chance to learn from people who are generous with their knowledge and invested in helping good engineers become exceptional ones.

You'll build things that leave the laptop.

No endless internal experiments or prototypes created just to impress a room. The goal is to solve real problems, work with real users and deliver AI systems that become part of how organisations operate.

You'll get responsibility early.

We're a small, growing team, which means you won't be buried beneath layers of process. You'll have the opportunity to contribute ideas, influence technical decisions and help shape how the team builds and delivers AI.

You'll develop much more than your technical skills.

Working directly with clients will sharpen your ability to understand problems, communicate clearly and make good decisions when the answer isn't obvious. You'll build the kind of engineering judgement that comes from seeing how technology works outside a controlled environment.

You'll be surrounded by people who are genuinely into this stuff.

Curiosity matters here. So does collaboration, a positive attitude and being someone other people enjoy working with. We're building a team of thoughtful, ambitious people who want to do excellent work without taking themselves too seriously.

A little about the way we work...

We're big believers in being deliberate about engineering. AI can make it easier than ever to produce code, but generating more code isn't the same as building better software.

We care about understanding the problem, defining what good looks like, making thoughtful technical decisions and building solutions that are secure, maintainable and useful.

We use AI extensively ourselves, and we want people who are excited about that shift - while still understanding the engineering principles that make the difference between something that looks impressive and something that works.

The practical bits

• Location: Stockholm
• Working model: Hybrid
• Experience: Ideally 2+ years professionally, although exceptional early-career talent is very much worth considering.
• Background: FDE / Software Engineering / AI Engineering preferred; exceptional Data Scientists and Data Engineers encouraged to apply.
• Academic background: Strong academic foundations are important.
• Compensation: Competitive, based on your experience and what you bring to the team.

Sound like your kind of thing?

You don't need to have the perfect job title, have worked with every tool on the list or know exactly what your specialism will be five years from now.

If you're technically excellent, naturally curious, excited by AI and want to build things that genuinely matter, we'd love to hear from you.

Come help us turn AI potential into something real.