Applied AI Engineer - Agents & Local Models

Playground Group

Stockholms kommun

On-site

SEK 600,000 - 800,000

Full time

14 days+
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Job summary

Playground Group is seeking an AI engineer to join their team in Stockholm. The role involves working on in-house client deliveries and tackling complex AI challenges. Candidates should have a few years of experience in AI engineering and be comfortable across stacks.

Fluency in both Swedish and English is required, as most client work is conducted in Swedish. The position offers opportunities for significant influence within a growing team.

Qualifications

  • A few years of experience in AI engineering across the stack.
  • Comfortable designing and building AI-enabled systems.
  • Fluency in Swedish and English.

Responsibilities

  • Join as an engineer on in-house client and group deliveries.
  • Tackle deep AI problems and present solutions.
  • Collaborate with teams to foster learning and understanding.

Skills

AI system design
LLM integrations
Context management
Knowledge graphs
Team collaboration

Job description

Playground Dev is the software engineering company in Playground Group. We build AI systems for clients and for the group itself: agent flows, LLM integrations, internal tooling, and the engineering around them that makes everything hold up in production.

We're in a growth phase and expanding the team across backend, fullstack and AI engineering. This opening is the AI engineering part of that.

The role

You'd join our in-house client and group deliveries as an engineer. Some days are pure code. Others start with a messy, half-defined problem and end with the first version of a plan.

The hard problems we're hiring for sit at the deeper end of the stack: running local models in production, context management for long-running agents, evaluation that actually tells you something, and the architecture decisions that come with all of it. If your experience so far is mostly calling hosted APIs, this role goes further than that.

We're a small enough team that good arguments win, so you'll have a lot of influence over how we do AI here. Part of the job is also teaching: helping other engineers understand how these systems behave in practice.

Who we're looking for

A few years of experience, comfortable across the stack. You've shipped AI-enabled systems with actual users, and you know what breaks. LLM integrations, agents, RAG, evals, knowledge graphs: you don't need to have done all of it, but you should be able to design and build most of it on your own.

You can drive things forward without anyone holding your hand. Low ego. We have no room for lone wolves who hoard knowledge.

If you've built something weird and AI-shaped on your own time, we want to hear about it.

How we work

Three types of engagements. This role sits mainly in the first two:

  1. In-house platform deliveries for group-wide initiatives

  2. Team-based client solutions with shared ownership

  3. Consulting engineering for clients who need extra technical strength

AI is part of our daily workflow, from delivery process to how we learn and solve problems. We spend real time understanding new tools and learning from each other, and the bar is high.

You won't sit in a narrow box. You'll collaborate with backend, fullstack and AI-focused engineers across deliveries, and put your skills where they create the most value.

Things we've built

A few examples from past deliveries, to give you a feel for the range:

  • System mapping and automated migration of large enterprise codebases, using agents we built ourselves

  • Due diligence tooling for VC firms: automated analysis of a startup's tech stack, architecture and risks

  • Real-time anomaly detection that catches deviations before a human would

  • Chatbot products for global brands launching new products

  • Report pipelines that plug into Word and turn real estate market data into finished analysis

What you'd work on is the next wave: the platform and team deliveries we're scaling into now.

Practical details
  • Based in central Stockholm

  • Fluency in Swedish and English is required. Most client work is in Swedish.

  • Some assignments require extended background vetting.

  • No visa sponsorship or relocation support. You need an existing, independent and permanent right to work in Sweden.

  • The final stage of recruitment includes a background check by a third party.

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