Software Engineer III - Knowledge Representation (Healthcare AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer III - Knowledge Representation (Healthcare AI): Designing and curating ontological structures for the healthcare supply chain with an accent on knowledge graphs, ML, and agentic approaches. Focus on implementing scalable graph databases, integrating LLMs/GenAI for data curation, and developing maintainable APIs to support AI explainability.
Location: Must be based in the USA (Remote or Office)
Salary: $91,000 - $121,000
Company
is a healthcare business and data automation company that provides a cloud-based supply chain technology exchange platform to maximize efficiency and accuracy in the healthcare community.
What you will do
- Design and maintain ontologies and data architectures to represent complex healthcare supply chain entities and relationships.
- Develop scalable structures and databases to capture and query structured, semi-structured, and unstructured data.
- Integrate graph solutions (RDF, LPG) with other data stores and AI systems.
- Leverage LLMs, Generative AI, and rules engines for data I/O and curation.
- Build software tools and maintainable APIs, including MCP servers, to support knowledge representation needs.
- Collaborate with internal and external stakeholders to translate business challenges into technical AI solutions.
Requirements
- Must be based in the USA.
- 3+ years of experience as a software engineer or data scientist.
- Expertise with Graph query languages (SPARQL, Cypher, Gremlin) and associated Graph Databases.
- Proficiency in Python and SQL.
- Experience with AWS cloud resources (S3, EC2, ECS, Lambda) and Docker.
- Experience specifying and creating APIs and microservices.
Nice to have
- Bachelor's degree in Computer Science or hard sciences.
- Experience with Generative AI solutions.
Culture & Benefits
- Opportunity to work on a key strategic role within the company's AI transformation.
- Focus on sound software engineering practices, including unit testing and modular problem decomposition.
- Commitment to an equal opportunity environment (EEO) and a harassment-free workspace.
- Work with a global team operating across North America and Europe.
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