We’re looking for an open-minded, curious, and meticulous Applied AI Engineer who loves turning ideas into working solutions. You’ll join a team that experiments fast, learns fast, and builds generative AI systems grounded in real data—with a strong focus on graph technology, vector search, and modern LLM engineering.

If you enjoy exploring what’s possible, designing smart experiments, and shipping useful capabilities with a team, you’ll fit right in.

What you’ll do

Design and implement NLP and Generative AI solutions that solve real user problems
Build graph-based GenAI architectures (e.g., RAG + knowledge graphs / graph reasoning patterns)
Work hands-on with vector databases, embeddings, retrieval, and evaluation
Prototype quickly, then harden into reliable components and pipelines
Plan and run experiments: scoping, design, execution, and clear reporting of results
Collaborate closely with engineers and domain experts to turn ambiguous needs into solid solutions

Required skills & experience

Proven delivery of NLP solutions and/or applied language technologies in production or customer-facing work
Experience building generative AI solutions involving graph databases / graph technology
Strong understanding of vector databases, graph databases, and retrieval patterns
Excellent skills in LangChain, LangGraph, and adjacent ecosystem tools
Intermediate Python skills (and relevant ML/NLP libraries)
Solid foundation in machine learning
Experience with experimental scoping, design, planning, execution, and reporting

Desirable (nice-to-have)

Domain adaptation / fine-tuning of open-weight language models
LLMOps experience (deployment, monitoring, evaluation, prompt/version management)
Test-driven / behavior-driven development practices
Working with Docker (Kubernetes administration and CI/CD pipeline setup are a plus)
Experience with continuous delivery

What we value

Curiosity + pragmatism: you explore options, but you know how to build it
Craftsmanship: you care about correctness, reliability, and clarity
Team mindset: you share, communicate, and build with others

Benefits

Competitive Salary: Attractive compensation based on experience.
Insurance: Comprehensive coverage for health, life, and accident insurance.
Pension: Generous pension scheme ensuring long-term financial security.
Parking: Convenient access to automated “Park & Go” parking and car pool services.
Bicycle Facilities: Secure bicycle hotel with showers, maintenance services, and battery charging stations.
EV Charging: Modern charging stations for electric vehicles, accessible via the Apcoa Flow app.
Wellness Allowance: Annual health and wellness benefit of SEK 5,000 (Friskvårdsbidrag).
On-site Gym: Free access to the CityGate Gym, including personal trainer sessions.
Showers: Available in both the bike hotel and gym facilities.
Company Bicycle Program: Access to “Förmånscykel” through BusinessBike.
Breakfast: Complimentary breakfast served daily.
Fruit: Weekly fruit baskets featuring fresh, seasonal selections.

Important Note:

This is a full-time, office-first position based at our headquarters in Gothenburg, Sweden. The role requires that you live within commuting distance of our HQ.

Why Join Us?

At SystemWeaver, you’ll join a collaborative and innovative environment where your ideas have real impact. You’ll work alongside a highly skilled AI team—colleagues who have spent their careers building AI solutions and driving innovation.

Our platform, SystemWeaver, has been trusted in the market for 25+ years and is used by hundreds of leading high-tech companies globally, supporting thousands of engineers every day. You’ll help shape what comes next—while enjoying excellent employee benefits and a modern workplace.