Artificial Intelligence Engineer
RemoteStockholm, Stockholm County, SwedenseniorFull-time
- Posted
- today
- Source
- LinkedIn (remote, Europe)
- Field
- Engineering
Skills
AICommunicationAnalyticsPythonAzureNext.jsLLMsAWSGCPMachine Learning
Description
AI Engineers | GenAI Engineers | ML Engineers | Data Scientists | Data Engineers
📍 Stockholm | Hybrid | Permanent
Most companies are still experimenting with AI. This team is already shipping it.
Production-grade AI systems. Enterprise clients. Real business impact.
I’m working with a fast-growing AI consultancy founded by some of the Nordics’ most respected AI leaders: people who have run large-scale AI programmes, advised major enterprises and shaped how the region adopts AI. Their focus is simple: turn AI into measurable business value.
This is for you if you’re the person who:
- Tests every new model the week it drops
- Builds agents and side projects for fun
- Lives in Cursor or Claude Code
- Wants to be where AI engineering is going, not where it’s been
Why this role stands out
- Learn directly from some of the most experienced AI practitioners in the Nordics
- Ship production systems clients rely on every day, not demos or proofs of concept
- Work hands-on with LLMs, RAG, AI agents and intelligent automation
- Get real ownership from day one
- Join early in a business expected to scale significantly
- Work in an AI-native culture where AI is embedded in how everything is built and delivered
The role
Work directly with enterprise clients to design, build and deploy AI solutions that solve genuine business problems, across AI applications, agentic systems, automation, data platforms, governance and next-generation AI products.
Who we want to hear from
AI Engineers, ML Engineers, Data Scientists, Data Engineers, Software Engineers with a strong AI focus, and Applied/GenAI Developers. Graduates through to experienced AI consultants are all welcome. Potential, mindset and passion for AI matter most.
You’ll bring
- Strong software, data or ML foundations
- Hands-on experience building with modern AI tools
- Python plus cloud experience (Azure, AWS or GCP)
- Data engineering, analytics or platform experience
- Curiosity about agents, LLMs, RAG and emerging AI architectures
- Confident, clear communication with clients and stakeholders
- A strong academic background (highly regarded)
Why now?
You’ll be joining at the start of a growth story, learning faster than you would in a traditional environment, alongside people who have already shaped AI adoption at enterprise scale.
Ambitious, AI-native and ready for it? Apply now for a confidential conversation.
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