Ontology & Knowledge Graph Engineer (FDE)
Lambda256 Co., Ltd. is a Seoul-based blockchain technology company and Dunamu subsidiary operating enterprise Web3 infrastructure.
Funding history
Projects
About Lambda256 Co., Ltd.
Lambda256 originated as Dunamu's blockchain research division and became an independent corporation in March 2019. Its current products include Nodit, an institutional-grade multichain node and blockchain-data infrastructure platform; CLAIR, an ontology-based blockchain intelligence and FRAML engine; and SCOPE, an institutional stablecoin issuance, payments, settlement, wallet, and compliance platform. Lambda256 also operates Nodit services including Datashare, Datasquare, validator operations, Web3 Data APIs, webhooks, MCP, and x402-based agentic payments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze complex customer and internal domain problems and help structure them into conceptual models and ontologies. You will identify knowledge graph use cases, design and build analysis, exploration, inference, and AI solutions, and develop related pipelines. You will also model data, validate it, map and load it, and verify consistency during proof of concept and early implementation phases.
Requirements
- Ability to structure complex customer problems
- Ability to quickly learn new domains and organize them into conceptual models
- Interest in applying ontologies and knowledge graphs to business problems
- Ability to participate in problem definition modeling solution design and proof of concept leadership
- Ontology semantic web knowledge graph knowledge representation inference or graph based AI research or project experience is preferred
- Experience or understanding of blockchain finance AML compliance risk management or on-chain data is preferred
- Experience with diverse domain modeling is preferred
- Experience designing or developing systems combining LLM or RAG with knowledge graphs is preferred
- Data platform development or implementation experience is preferred
Responsibilities
- Analyze customer and internal domain problems
- Design domain conceptual models and ontologies
- Identify knowledge graph use cases
- Design and build analysis exploration inference and AI solutions
- Develop knowledge graph implementation pipelines
- Perform modeling solution design and data validation for proofs of concept and early implementations
- Map and load real data and verify consistency
Hiring Process
Application review → coding test → first job interview → second culture-fit interview → compensation discussion → final hiring