Knowledge Graph Engineer

📋 Description

• Collaborate closely with clients and internal product and engineering teams to design and implement semantic and knowledge graph solutions.

• Oversee client engagements from the pre-sales phase through onboarding, deployment, and training.

• Create and sustain taxonomies, ontologies, and classification models.

• Work in partnership with product, engineering, and delivery teams.

• Collect and prioritize client requirements, contribute insights to the product roadmap, and assist with product positioning through demonstrations.

⛳️ Requirements

• Proficient in Python programming.

• Experience in customer-facing positions within software or SaaS environments.

• Excellent communication and presentation skills.

• Hands-on experience in developing taxonomies, ontologies, and knowledge graphs.

• Experience in managing human and/or machine classification processes.

• Comprehensive understanding of semantic web standards (RDF, SKOS, OWL, SPARQL).

• Familiarity with graph databases, especially RDF graph databases.

• Knowledge of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).

• Ability to work effectively with both technical and non-technical teams.

🏝️ Benefits

• Contribute to growth in a vibrant, high-potential tech environment.

• Experience autonomy through our "freedom and responsibility" work philosophy.

• Collaborate with outstanding talent to tackle extraordinary challenges.

• Enhance customer success and retention while enjoying a flexible environment aimed at growth.

• Make a significant strategic impact while having fun with fantastic colleagues.