[Remote] Sr Software Engineer - Knowledge Representation (Ontology and ML Engineer)
Note: The job is a remote job and is open to candidates in USA. GHX is a healthcare business and data automation company that empowers healthcare organizations to enable better patient care and maximize industry savings. The Sr Software Engineer focusing on Knowledge Representation will be responsible for applying modern methods for knowledge representation, including ontology creation, to support GHX’s AI strategy in the healthcare supply chain.
Responsibilities
- Collaborate with internal and external stakeholders including users, developers, product managers, leadership, etc., to understand needs and challenges and translate these into solutions
- Lead, design & develop scalable structures and databases to capture, store and query structured, semi-structured and unstructured data
- Lead, design and maintain ontologies and data architectures to represent complex relationships and entities
- Mentor junior engineers
- Integrate graph solutions with other data stores and technologies
- Leverage LLMs/GenAI and rules engines for data I/O and data curation
- Multimodal data handling: incorporate text, images, videos, tables, graphs, rules, etc., into the knowledge representation system
- Proactively explore new techniques and emerging trends to drive adoption of new solutions
- Develop and maintain software tools to support knowledge representation needs
- Implement tools for evaluating and monitoring solution performance
- Invent and deploy novel solutions with maintainable APIs, MCP servers, to suit stakeholder needs
- Adhere to sound software engineering practices
Skills
- Minimum 8 years working as a software engineer or data scientist, 6 years with a Master's degree
- Expertise with one or more Graph query languages (SPARQL, Cypher, Gremlin) and the associated Graph Databases
- Experience with Tabular (SQL), Document (NoSQL), and Vector/Semantic databases and their interactions with Graph DBs
- Expertise with Python & SQL
- Experience with AWS cloud resources (S3, EC2, ECS, Lambda)
- Experience with Docker or other container services
- Specification and creation of APIs and microservices
- Computer Science or hard sciences Bachelors degree
- Passion to stay on the cutting edge in knowledge representation solutions
- Experience with Generative AI solutions
- Sense of humor
Company Overview
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