Senior ML Engineer - Agentic AI & Knowledge Graphs

Spectraforce Technologies; Newark (NJ); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Spectraforce Technologies is seeking a Sr Machine Learning Engineer in California and New Jersey to design, develop and deploy Agentic AI systems, partnering with Data Scientists, Data Engineers and DevSecOps to deliver scalable, explainable models and robust integrations.

You will build semantic layers, knowledge graphs and governance rules, implement LLM workflows, and advocate agile practices while solving complex business problems.

Qualifications

• Experience architecting ML/AI systems and scalable model deployments.
• Proven ability to collaborate with cross-functional teams including data scientists and engineers.
• Familiarity with agile development and SDLC practices.

Responsibilities

• Design, develop, and deploy ML models and agentic AI systems at scale.
• Integrate LLMs with semantic graphs, ontologies, and knowledge graphs.
• Lead architectural decisions and coach team members on best practices.

Skills

Architectural design

Problem solving

Communication skills

Team collaboration

Agile methodologies

Self-motivated learner

Education

Bachelor's degree in Computer Science or Engineering

Tools

Claude Code

TensorFlow

PyTorch

Graph databases

Job description

Spectraforce Technologies is seeking a Sr Machine Learning Engineer in California and New Jersey to design, develop and deploy Agentic AI systems, partnering with Data Scientists, Data Engineers and DevSecOps to deliver scalable, explainable models and robust integrations.

You will build semantic layers, knowledge graphs and governance rules, implement LLM workflows, and advocate agile practices while solving complex business problems.