Agentic AI Engineer
Richardson, TX · On-site
... Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records. • Collaborate with multiple departments ...
Agentic AI Engineer
Richardson, TX · On-site
... Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records. • Collaborate with multiple departments ...
AI Engineer AI Modernization Factory-VS Code & TypeScript Role Summary We are seeking an AI ... Knowledge Graph Integration * LightRAG + Neo4j pipeline for context-aware analysis * Artifact ...
AI Engineer AI Modernization Factory-VS Code & TypeScript Role Summary We are seeking an AI ... Knowledge Graph Integration * LightRAG + Neo4j pipeline for context-aware analysis * Artifact ...
Senior Data Engineer
Dallas, TX · On-site +1
$98K - $133K/yr
Senior Data Engineer At Billee , we're building the next generation of utility billing. Our goal is ... LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval * Azure experience
Senior Data Engineer
Dallas, TX · On-site +1
$98K - $133K/yr
Senior Data Engineer At Billee , we're building the next generation of utility billing. Our goal is ... LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval * Azure experience
SAP AI Architect
Austin, TX · On-site
$81.50 - $109.75/hr
Knowledge of SAP Generative AI Knowledge Graph and semantic data modeling. * Extensive experience with SAP Business Technology Platform services. * Strong understanding of Python, REST APIs, and ...
Quick apply
SAP AI Architect
Austin, TX · On-site
$81.50 - $109.75/hr
Knowledge of SAP Generative AI Knowledge Graph and semantic data modeling. * Extensive experience with SAP Business Technology Platform services. * Strong understanding of Python, REST APIs, and ...
Agentic AI Engineer
Richardson, TX · On-site
Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and ... Collaborate with multiple departments, domain architects, and factory engineers to identify high ...
Agentic AI Engineer
Richardson, TX · On-site
Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and ... Collaborate with multiple departments, domain architects, and factory engineers to identify high ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99K - $137K/yr
This role sits at the intersection of LLM systems engineering, distributed platforms, and applied ... Implement knowledge graph-backed reasoning, including ontologies, entity resolution and graph-based ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99K - $137K/yr
This role sits at the intersection of LLM systems engineering, distributed platforms, and applied ... Implement knowledge graph-backed reasoning, including ontologies, entity resolution and graph-based ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99K - $137K/yr
This role sits at the intersection of LLM systems engineering, distributed platforms, and applied ... Implement knowledge graph-backed reasoning, including ontologies, entity resolution and graph-based ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99K - $137K/yr
This role sits at the intersection of LLM systems engineering, distributed platforms, and applied ... Implement knowledge graph-backed reasoning, including ontologies, entity resolution and graph-based ...
Wells Fargo is seeking a Lead Software Engineer (Physicist / Engineer) for Wells Fargo ... Knowledge Graph Technology - graph databases, AI/ML, NLP. * Strong creative and ideation abilities ...
Wells Fargo is seeking a Lead Software Engineer (Physicist / Engineer) for Wells Fargo ... Knowledge Graph Technology - graph databases, AI/ML, NLP. * Strong creative and ideation abilities ...
Contributing to knowledge graph schema design and populating graph databases with domainrelevant ... engineering, or data architecture * Handson experience with dbt, SQL, and at least one cloud data ...
Contributing to knowledge graph schema design and populating graph databases with domainrelevant ... engineering, or data architecture * Handson experience with dbt, SQL, and at least one cloud data ...
Agentic AI Engineer
Richardson, TX · On-site
Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and ... Collaborate with multiple departments, domain architects, and factory engineers to identify high ...
Agentic AI Engineer
Richardson, TX · On-site
Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and ... Collaborate with multiple departments, domain architects, and factory engineers to identify high ...
Ontology Expert - Remote
Dallas, TX · Remote
Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...
Ontology Expert - Remote
Dallas, TX · Remote
Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...
Graph DB Developer
Plano, TX · On-site
... knowledge repository Qualifications : Required : • Hands-on experience in software development or data science • Experience building E2E analytics platform using Streaming, Graph and Big Data ...
Graph DB Developer
Plano, TX · On-site
... knowledge repository Qualifications : Required : • Hands-on experience in software development or data science • Experience building E2E analytics platform using Streaming, Graph and Big Data ...
... programming. • Solid knowledge of graph database concepts, including graph data modeling, traversal algorithms, etc. • Exeprience in GraphDB tuning techniques, eg: partitioning and sharding ...
... programming. • Solid knowledge of graph database concepts, including graph data modeling, traversal algorithms, etc. • Exeprience in GraphDB tuning techniques, eg: partitioning and sharding ...
Ontology Expert - Remote
Dallas, TX · Remote
Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...
Ontology Expert - Remote
Dallas, TX · Remote
Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...
Ontology Expert - Remote
Dallas, TX · On-site +1
Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...
Ontology Expert - Remote
Dallas, TX · On-site +1
Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...
... and engineering with business consulting. We build context-driven analytics and GenAI/agentic ... Building knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrieval
... and engineering with business consulting. We build context-driven analytics and GenAI/agentic ... Building knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrieval
Capgemini Invent - Contextual Systems Engineer Senior Consultant
Dallas, TX · On-site
$105K - $199K/yr
... and engineering with business consulting. We build context-driven analytics and GenAI/agentic ... Building knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrieval
Capgemini Invent - Contextual Systems Engineer Senior Consultant
Dallas, TX · On-site
$105K - $199K/yr
... and engineering with business consulting. We build context-driven analytics and GenAI/agentic ... Building knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrieval
Graph DB Developer
Plano, TX · On-site
... knowledge repository Your contribution to the team: • An agile mindset with effective ... Graph Analytics • Extensive hands on experience in designing, developing, and maintaining ...
Graph DB Developer
Plano, TX · On-site
... knowledge repository Your contribution to the team: • An agile mindset with effective ... Graph Analytics • Extensive hands on experience in designing, developing, and maintaining ...
AI Engineer
Austin, TX · On-site
$220K - $270K/yr
Context systems grounded in real operations: * industrial ontology / knowledge graph mapping plants ... Partner closely with product and engineers to define scope, tradeoffs, and success metrics
Quick apply
AI Engineer
Austin, TX · On-site
$220K - $270K/yr
Context systems grounded in real operations: * industrial ontology / knowledge graph mapping plants ... Partner closely with product and engineers to define scope, tradeoffs, and success metrics
Graph DB Developer
Plano, TX · On-site
... knowledge repository Your contribution to the team: • An agile mindset with effective ... Graph Analytics • Extensive hands on experience in designing, developing, and maintaining ...
Graph DB Developer
Plano, TX · On-site
... knowledge repository Your contribution to the team: • An agile mindset with effective ... Graph Analytics • Extensive hands on experience in designing, developing, and maintaining ...
Knowledge Graph Engineer information
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Texas Instruments rating
8.1
Based on 83 frontline employees who took The Breakroom Quiz
40th of 139 rated electronics manufacturers
Job description
Job Summary:
Texas Instruments is a global semiconductor company transforming manufacturing through AI. The Agentic AI Engineer will design, build, and operate AI infrastructure to enhance factory intelligence, integrating large language models with manufacturing data systems for rapid decision support.
Responsibilities:
• Architect and deliver multi-agent AI systems using the A2A (Agent-to-Agent) protocol, including orchestrator and sub-agent topologies that span multiple factory data sources.
• Build and maintain MCP (Model Context Protocol) servers in Python, containerized with Docker and deployed on VMs and Kubernetes clusters; register agents and MCP servers.
• Integrate LLM inference into factory workflows; manage LiteLLM project credentials, budgets, and routing configurations.
• Develop agent tools that query manufacturing databases (MES, FDC, APC, OEE, etc.) and expose clean interfaces for downstream AI consumption.
• Design, evolve, and influence the Agent Delivery Framework.
• Establish and document agentic software development best practices; create reusable agent templates adopted across business teams.
• Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records.
• Collaborate with multiple departments, domain architects, and factory engineers to identify high ROI agent use cases, prioritize delivery, and ensure agents meet security and authentication requirements.
• Present architecture roadmaps and live agent demos to peers and senior manufacturing leadership.
• Contribute to cross-domain AI access and guardrails governance strategy.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
• 4+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM application development.
• Proficiency in Python and experience containerizing applications with Docker.
• Hands-on experience building or integrating with REST API backends and asynchronous service architectures.
• Strong communication skills — able to translate complex AI architecture decisions for non-technical manufacturing stakeholders.
Preferred:
• Experience with multi-agent AI frameworks, agent orchestration patterns, or the MCP (Model Context Protocol) specification.
• Familiarity with LiteLLM, Open Web UI, or similar LLM proxy/routing platforms.
• Experience deploying workloads on Kubernetes (K8s) or cloud-adjacent enterprise platforms.
• Working knowledge of graph databases (Neo4j) and vector search systems (Vectara, pgvector, or equivalent).
• Prior exposure to semiconductor or discrete manufacturing data systems (MES, FDC, SPC, SCADA, APC) is a strong plus.
• Experience with workflow automation tools (e.g. Airflow) and CI/CD pipelines (Bitbucket, Jenkins, or equivalent).
• Master's degree or equivalent industrial AI research experience.
Company:
Texas Instruments is a global semiconductor company that manufactures, designs, tests, and sells embedded and analog processing chips. Founded in 1930, the company is headquartered in Dallas, USA, with a team of 10001+ employees. The company is currently Late Stage.
Texas Instruments is a global semiconductor company transforming manufacturing through AI. The Agentic AI Engineer will design, build, and operate AI infrastructure to enhance factory intelligence, integrating large language models with manufacturing data systems for rapid decision support.
Responsibilities:
• Architect and deliver multi-agent AI systems using the A2A (Agent-to-Agent) protocol, including orchestrator and sub-agent topologies that span multiple factory data sources.
• Build and maintain MCP (Model Context Protocol) servers in Python, containerized with Docker and deployed on VMs and Kubernetes clusters; register agents and MCP servers.
• Integrate LLM inference into factory workflows; manage LiteLLM project credentials, budgets, and routing configurations.
• Develop agent tools that query manufacturing databases (MES, FDC, APC, OEE, etc.) and expose clean interfaces for downstream AI consumption.
• Design, evolve, and influence the Agent Delivery Framework.
• Establish and document agentic software development best practices; create reusable agent templates adopted across business teams.
• Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records.
• Collaborate with multiple departments, domain architects, and factory engineers to identify high ROI agent use cases, prioritize delivery, and ensure agents meet security and authentication requirements.
• Present architecture roadmaps and live agent demos to peers and senior manufacturing leadership.
• Contribute to cross-domain AI access and guardrails governance strategy.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
• 4+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM application development.
• Proficiency in Python and experience containerizing applications with Docker.
• Hands-on experience building or integrating with REST API backends and asynchronous service architectures.
• Strong communication skills — able to translate complex AI architecture decisions for non-technical manufacturing stakeholders.
Preferred:
• Experience with multi-agent AI frameworks, agent orchestration patterns, or the MCP (Model Context Protocol) specification.
• Familiarity with LiteLLM, Open Web UI, or similar LLM proxy/routing platforms.
• Experience deploying workloads on Kubernetes (K8s) or cloud-adjacent enterprise platforms.
• Working knowledge of graph databases (Neo4j) and vector search systems (Vectara, pgvector, or equivalent).
• Prior exposure to semiconductor or discrete manufacturing data systems (MES, FDC, SPC, SCADA, APC) is a strong plus.
• Experience with workflow automation tools (e.g. Airflow) and CI/CD pipelines (Bitbucket, Jenkins, or equivalent).
• Master's degree or equivalent industrial AI research experience.
Company:
Texas Instruments is a global semiconductor company that manufactures, designs, tests, and sells embedded and analog processing chips. Founded in 1930, the company is headquartered in Dallas, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Texas Instruments employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Texas Instruments
Sourced by ZipRecruiter
As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.
Industry
Semiconductor and electronic component manufacturing
Company size
10,000+ Employees
Headquarters location
Dallas, TX, US
Year founded
1930