AI Knowledge Engineer

About the Position

🚀 AI Knowledge Engineer

Join the Future of Digital Tech with Kolomolo

At Kolomolo, we don’t just follow trends - we set them. As a global supplier of IT services and digital modernization solutions, we help businesses embrace cutting-edge technology to optimize their operations. Now, we are growing and looking for fresh talent to grow with us.

*Are you proactive, tech-savvy, and eager to build your career in IT? ***This role could be your perfect fit.

We offer a dynamic, collaborative, friendly, and growth-oriented work environment. We strive to make you reach your goals fast! Opportunities for quick career advancement and vigorous learning.

We usually respond within a day.

Responsibilities

• Designing and building knowledge graph pipelines: ingestion, schema design, traversal, and query optimization (Neo4j / property graphs)
• Working with embeddings and LLM APIs to enrich graph-based reasoning: you understand when to embed, when to traverse, and why RAG alone doesn't cut it at scale
• Integrating with real-world infrastructure: pulling context from AWS, GCP, Azure, and Kubernetes clusters, not operating them day-to-day, but understanding their architectures well enough to extract meaningful knowledge from them
• Working with IaC artifacts (Terraform, Pulumi, CloudFormation) as data sources, parsing, interpreting, and mapping infrastructure-as-code into structured representations
• Delivering working software in short cycles using Claude Code as your core development workflow

Requirements

Must-haves:

• Deep, practical experience with knowledge graphs: you have built them, not just read about them. You can talk fluently about ontology design, graph traversal strategies, and when a graph model beats a relational or document model
• Strong understanding of embeddings - vector spaces, similarity search, chunking strategies, and the trade-offs between embedding-based retrieval and structured graph queries
• Solid working knowledge of LLMs: prompt engineering, context window management, tool use, and how to build reliable systems on top of non-deterministic models
• Proven ability to ship software quickly; we don't care about your CS degree, we care about your portfolio and your velocity
• Comfort using AI coding tools (Claude Code specifically) as a daily driver, not a novelty
• Architectural-level understanding of Kubernetes, AWS, GCP, and Azure; enough to read a cluster config, understand a VPC layout, parse IAM policies, and know what questions to ask. You don't need to be a DevOps engineer, but you need to speak the language
• Familiarity with IaC tooling: Terraform, Pulumi, or CloudFormation, as structured data sources you can reason over

Strong signals:

• 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

We Offer

• Remote-first, async-friendly
• Distributed team across Europe (Poland, Sweden, UK)
• High autonomy, high accountability
• Claude Code is the default development tool. If you have not used it yet, get comfortable before applying

About the Company

Kolomolo is a leader in digital modernization, helping companies embrace the latest cutting-edge technologies to optimize their business with the help of our talented experts.

Founded in 2016, we have about 100 co-workers and a turnover of 5M.

We prioritize innovation, agility, and autonomy. Our teams have the freedom to own their work, share ideas, and make meaningful contributions. Inspired by Scandinavian values, we believe in work-life harmony and creating an inclusive culture where everyone thrives.

Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.

Ready for the next step? Apply now and start an exciting journey of growth and innovation with us!