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Infographic showing various job openings at Lti in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Knowledge Engineer / Semantic Expert for AI

LTI (Logic Technology Inc.)

Mountain View, CA • On-site

$116K - $158K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
LTI (Logic Technology Inc.) is a company focused on leveraging generative AI and semantic technologies to transform enterprises. As a Knowledge Engineer, you will lead a team to develop innovative AI solutions and Knowledge Graphs, collaborating with both technical and business stakeholders to deliver impactful results.
Responsibilities:
• Build Knowledge Graph solutions that transform clients’ data architecture.
• Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly
• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies
• Develop strong relationships with clients and gain the trust of key advisors
• Make the business case for the semantic layer solution recommended to the client
• Pitch in on Accenture sales efforts when needed
• Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.
Qualifications:
Required:
• Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience
• Minimum of 2 or more of the below Requirements:
• Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.
• Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.
• Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration
• Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases
Preferred:
• 2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
• 2+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
• Practical experience with NLP and/or Search techniques
• Prompt engineering, and LLMs for enterprise-scale applications.
• You have team lead experience
• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• You have external client-facing consulting experience
• Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
• Broad experience in diverse ML techniques and agentic systems.
Company:
LTI (Logic Technology Inc.) is a privately held information technology consulting firm headquartered in Schenectady, NY. Founded in 1989, the company is headquartered in Cincinnati, USA, with a team of 51-200 employees. The company is currently Growth Stage.