Designing and building knowledge graph pipelines: ingestion, schema design, traversal, and query optimisation (Neo4j / property graphs)
Working with embeddings and LLM APIs to enrich graph-based reasoning
Integrating with real-world infrastructure
Working with IaC artifacts (Terraform, Pulumi, CloudFormation) as data sources
Delivering working software in short cycles using Claude Code as your core development workflow

Deep, practical experience with knowledge graphs
Strong understanding of embeddings
vector spaces, similarity search, chunking strategies, and trade-offs between embedding-based retrieval and structured graph queries
Solid working knowledge of LLMs: prompt engineering, context window management, and building reliable systems on top of non-deterministic models
Proven ability to ship software quickly
Comfort using AI coding tools (Claude Code specifically) as a daily driver
Architectural-level understanding of Kubernetes, AWS, GCP, and Azure
Familiarity with IaC tooling: Terraform, Pulumi, or CloudFormation
Experience with Neo4j, AuraDB, or similar graph databases in production
Background in static analysis, AST parsing, or code intelligence tooling
Exposure to enterprise software environments with multiple repositories and complex dependency chains
Comfort working asynchronously in a distributed team

Dynamic, collaborative, friendly and growth-oriented work environment
Opportunities for quick career advancement and vigorous learning
Agile Teams & Autonomy: No micromanagement. You’ll own your projects and enjoy the freedom to innovate.
Work-Life Harmony: Inspired by Scandinavian values, we prioritize balance and flexibility, where remote work and asynchronous collaboration are in our DNA.
Continuous learning is at our core. We reward hard work, value smart ideas, and foster an environment of mutual respect and trust.
Inclusive Culture: We believe in DEI: diversity, equity and inclusion. We are committed to creating an environment where every individual, regardless of background, identity, or experience feels valued, respected, and empowered to thrive.

AI Knowledge Engineer

Key skills