Knowledge Graph Developer – Learn, Build, and Grow
🔵 Remote / Flexible Location
🔵 Work directly on cutting-edge projects with seasoned experts
Are you a driven, technically sharp engineer passionate about bridging the gap between continuous and discrete knowledge representations? Do you see the potential in combining the flexibility of LLMs with the precision of Knowledge Graphs? Do you get excited about solving complex problems like entity linking, graph-LLM integration, and semantic reasoning?
If so, this is an opportunity to tackle some of the most advanced challenges in AI, working on a library that's pushing the boundaries of what's possible with Knowledge Graphs and LLMs.
What You'll Be Doing:
🟣 Core Library Development
- Enhancing entity linking and merging algorithms to improve accuracy and reliability
- Developing sophisticated graph-LLM integration patterns
- Implementing advanced semantic reasoning capabilities
- Building robust validation and quality assurance systems
🟣 Technical Innovation
- Developing novel approaches to bridge the continuous LLM latent space with the discrete graph space
- Creating innovative solutions for ontology learning and abstraction
- Experimenting with advanced embedding techniques and advanced graph algorithms
🟣 System Architecture
- Building scalable, production-ready knowledge graph systems
- Implementing efficient caching and indexing strategies
- Designing robust API interfaces
- Creating comprehensive testing frameworks
🟣 Client Solutions
- Translating complex requirements into elegant technical solutions
- Building custom knowledge graph applications
- Implementing RAG systems with advanced reasoning capabilities
- Delivering high-quality, maintainable code to clients
What We're Looking For:
🔵 Technical Expertise
- Strong Python skills with experience in production systems
- Deep understanding of core algorithms and data structures
- Ability to structure, deploy and maintain complex code bases
- Ability to write performant, low-latency code over large datasets
- Knowledge of RDF, SPARQL, and graph databases is desirable but not essential
🔵 AI & ML Experience
- Experience with LLMs, fine-tuning, distillation, etc
- Understanding of semantic similarity, named entity recognition, entity linking, etc
- Knowledge and experience of neural networks and deep learning
- Experience with using neural techniques on graphs is desirable, but not essential
🔵 Problem-Solving Skills
- Strong analytical and debugging skills
- Experience with complex system design
- Ability to balance theoretical understanding with practical implementation
🔵 Personal Qualities
- Independent problem-solver who can own complex projects
- Quick learner with a passion for new technologies
- Team player who can collaborate effectively
Why This Role?
🟣 Technical Growth
- Work on cutting-edge problems in AI and Knowledge Graphs
- Collaborate with experienced engineers, ontologists and researchers
- Opportunity to publish and contribute to the field
- Access to the latest tools and technologies
🟣 Impact
- Build solutions that solve real-world problems
- Contribute to open-source knowledge graph technology
- Make a real difference in AI and knowledge representation
🟣 Environment
- Remote-first, flexible working
- Collaborative, supportive team
- Focus on innovation and quality
- No corporate bureaucracy
The Knowledge Graph Guys value integrity and put people first, caring for our team, our clients, and those who use what we build. We hire for talent, openness, and team spirit and welcome people who bring curiosity, care, and collaboration to our working environment.
Applicants from all backgrounds are welcome, and we are committed to fostering a diverse and inclusive workplace - "Guys" includes everyone here! So, no matter who you are or where you come from, if you have the skills and the drive to push the boundaries of AI with Knowledge Graphs, let's talk!
How to Apply:
Skip the long cover letter – just send a concise message with:
🔵 A short paragraph on why this role excites you
🔵 Links to your GitHub, LinkedIn, papers, or any relevant projects
🔵 A brief description of your experience with Knowledge Graphs and LLMs
Send your application to info@knowledge-graph-guys.com