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Overnight Knowledge Graph Software Engineer Jobs in Michigan

As an AI-focused Software Engineer in Marketing Enterprise Analytics, you will architect systems ... Experience working with graph databases, Graph-RAG applications, or knowledge graphs. * Experience ...

AI Software Engineer

Dearborn, MI · On-site

$100K - $192K/yr

As an AI-focused Software Engineer in Marketing Enterprise Analytics, you will architect systems ... Experience working with graph databases, Graph-RAG applications, or knowledge graphs. * Experience ...

Senior Security Software Engineer

Warren, MI · On-site

$115K - $151K/yr

Model and store authorization relationships and permissions using graph-based data stores. * Use ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ...

Senior Security Software Engineer

Warren, MI · On-site

$115K - $151K/yr

Model and store authorization relationships and permissions using graph-based data stores. * Use ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ...

AI/ML Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Collaborate with Knowledge Graph teams to align AI models with enterprise ontologies and enable ... Software Development Lifecycle (SDLC) Required Qualifications * Bachelor's degree in Computer ...

Overview We are looking for a skilled Software Engineer to design and deliver scalable, cloud ... Strong knowledge of Spring Cloud, Spring Security, and Spring Data JPA * Experience with Kafka ...

Description Software Engineer I Location: Remote, USA Employment Type: Full-Time Benefits offered ... Knowledge, Skills, and Abilities * Solid understanding of software development fundamentals and ...

Description Software Engineer I Location: Remote, USA Employment Type: Full-Time Benefits offered ... Knowledge, Skills, and Abilities * Solid understanding of software development fundamentals and ...

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Showing results 1-20

Overnight Knowledge Graph Software Engineer information

What is the difference between Overnight Knowledge Graph Software Engineer vs Data Engineer?

AspectOvernight Knowledge Graph Software EngineerData Engineer
CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, experience with data pipelines
Work EnvironmentDeveloping and maintaining knowledge graph systems overnightBuilding and managing data pipelines during regular hours
Industry UsageTech, AI, knowledge management companiesFinance, 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.

What cities in Michigan are hiring for Overnight Knowledge Graph Software Engineer jobs? Cities in Michigan with the most Overnight Knowledge Graph Software Engineer job openings:
Software Engineer, AI Enablement

Software Engineer, AI Enablement

Ford Motor Company

Dearborn, MI • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Ford Motor Company is redefining mobility through quality data, metrics, and analytics. They are seeking a Senior Software Engineer to design and build AI-powered agents that enhance the discovery, recommendation, and management of enterprise ontology assets.
Responsibilities:
• Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and management of enterprise ontology and metadata assets.
• Evaluate and recommend technical approaches for semantic search, knowledge management, retrieval, and recommendation challenges.
• Design and implement scalable backend services, APIs, and AI-enabled capabilities.
• Build retrieval, ranking, and recommendation systems that support intelligent user experiences.
• Collaborate with product managers, ontology experts, and domain stakeholders to translate business needs into technical solutions.
• Conduct technical evaluations and proof-of-concepts for emerging AI technologies.
• Drive architecture decisions, engineering best practices, and operational excellence.
Qualifications:
Required:
• Bachelor's degree in computer science, Information Systems, or a related field.
• 7+ years of professional experience in Data Science or Software Engineering building scalable production systems.
• 5+ years of experience working with Python/Java/Javascript/Angular programming languages.
• Experience in building autonomous agents using agent orchestration frameworks such as LangGraph/LangChain/Google ADK or Similar Technologies.
• Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.
• Experience with vector search or hybrid retrieval architectures.
• Experience working with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.
• Strong problem-solving and system design skills.
• Ability to evaluate competing technical approaches and articulate tradeoffs.
• Experience working with large, complex datasets and information management systems.
Preferred:
• Experience with semantic technologies, search, recommendation systems, or knowledge graphs.
• Experience working with graph databases, Graph-RAG applications.
Company:
We don't just make history -- we make the future. Founded in 1903, the company is headquartered in Dearborn, USA, with a team of 10001+ employees. The company is currently Late Stage.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982