Agentic AI Engineer
Richardson, TX, United States
USD 152K-232K (estimate) Senior-level Full Time
Tasks
- Architect multi-agent AI systems
- Build and deploy MCP servers
- Build knowledge graph and RAG systems
- Collaborate with domain teams on use case delivery
- Create reusable agent templates
- Deploy workloads on Kubernetes
- Design agent delivery framework
- Develop agent tools for manufacturing data queries
- Develop document and parametric data retrieval
- Ensure security and authentication requirements
- Establish agentic development best practices
- Integrate LLM inference into factory workflows
- Manage LiteLLM routing and budgets
Perks/Benefits
- N/A
Skills/Tech-stack
APC | Agent systems | Airflow | Asynchronous Architecture | Authentication | Bitbucket | CI/CD | Docker | FDC | Graph Databases | Jenkins | Knowledge graph | Kubernetes | LLM | Language Models | Large Language Models | Litellm | MES | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Neo4j | OEE | Python | RAG | REST API | SCADA | SPC | Security | VMware | Vector Search
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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