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Principal Software Engineer, AI Location : Remote - US Clari + Salesloft are building the next era ... This includes a knowledge graph, RAG and retrieval systems, and the access control and governance ...
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Overnight Knowledge Graph Software Engineer information
What is the difference between Overnight Knowledge Graph Software Engineer vs Data Engineer?
| Aspect | Overnight Knowledge Graph Software Engineer | Data Engineer |
|---|---|---|
| Credentials | Bachelor's or higher in CS, experience with graph databases | Bachelor's or higher in CS, experience with data pipelines |
| Work Environment | Developing and maintaining knowledge graph systems overnight | Building and managing data pipelines during regular hours |
| Industry Usage | Tech, AI, knowledge management companies | Finance, tech, healthcare, and data-driven industries |
The Overnight Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems during overnight shifts, often working with graph databases and semantic data. In contrast, Data Engineers build and manage data pipelines and infrastructure during regular hours. Both roles require strong technical skills, but their focus areas and work schedules differ significantly.
$91K - $121K/yr
Other
This job post has expired today. Applications are no longer accepted.
Job description
The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining GHX's position at the forefront of AI solutions in Healthcare. This role will be responsible for applying modern methods for knowledge representation including ontology creation that interact with intelligent systems to meet the challenges GHX faces in assuring affordable quality healthcare for all.
This Engineer will define, design and curate the key ontological structures needed in the Health Care Supply Chain using data driven, ML and agentic approaches. They will leverage graph, table, document and vector store capabilities that interact with AI solutions and make sense of diverse internal and external data. This is a key strategic role in GHX's AI strategy, assuring correct and complete information while supporting explainability and transparency. The role will primarily be focused on the design and implementation of ontology and graphical structures that interact with other data stores as well as AI solutions including generative and rule based. They will join a team that is tasked with leading GHX through a transformational change and solidifying its role as the leader in AI in the Healthcare Supply Chain.
Essential Duties:
- Collaborate with internal and external stakeholders including users, developers, product managers, leadership, etc., to understand needs and challenges and translate these into solutions.
- Design & develop scalable structures and databases to capture, store and query structured, semi-structured and unstructured data.
- Design and maintain ontologies and data architectures to represent complex relationships and entities.
- 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.
Competencies:
- Solid foundational understanding and application of Computer Science principles.
- Proficiency in knowledge graph technologies (e.g. RDF, LPG, SPARQL, Cypher)
- Understanding of data modeling, ontology design, data architecture
- Familiar with LLMs and other machine learning and agentic solutions.
- Familiar with all steps of SDLC and software development best practices.
- Excellent software engineering skills including unit testing, modular problem decomposition, multiple solution integration, etc.
- Fluent with scripting and query languages.
- Requires minimal to no supervision.
Required Qualifications and Skills:
- Greater than 3 years working as a software engineer or data scientist.
- 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.
Preferred Qualifications and Skills:
- 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.
Estimated salary range for this position: $91,000 - $121,000