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AI Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: McKinney Chamber
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Role Overview

We are seeking experienced Senior AI Engineers to lead the development of sophisticated AI agents and intelligent systems for manufacturing applications. This role offers the opportunity to architect and implement production-grade AI solutions that will directly impact operational efficiency and innovation in a major organization.

Key Responsibilities
  • Architect and develop complex AI agent systems for manufacturing automation and optimization
  • Design and implement multi-agent orchestration frameworks for production environments
  • Build and maintain ontologies and knowledge bases for domain-specific AI applications
  • Lead technical initiatives from concept through production deployment
  • Mentor junior engineers and contribute to technical best practices
  • Collaborate with stakeholders across manufacturing, logistics, and engineering teams
  • Drive innovation in AI agent capabilities and integration patterns
  • Ensure scalability, reliability, and performance of AI systems in production
Required Qualifications
  • Experience:

    5+ years in AI/ML development and deployment
  • AI Agent Development:
    Proven track record of building AI agents with at least some production or near-production deployment experience
  • Work Authorization:
    Must be authorized to work in the United States
Technical Expertise
  • Strong proficiency in Python and modern software engineering practices
  • Deep understanding of LLM architectures, fine-tuning, and prompt engineering
  • Hands-on experience designing orchestration systems for multi-agent workflows
  • Working knowledge of ontology design and knowledge representation
  • Experience with deployment practices and taking systems beyond local development
Preferred Qualifications
  • Model Context Protocol (MCP) - familiarity or experimentation (this is cutting-edge, production experience not expected)
  • Domain Knowledge:
    Background in manufacturing, logistics, automotive, supply chain, or industrial IoT (strong plus but not required)
  • Experience with real-time systems and edge computing
  • Track record of leading technical projects or mentoring engineers
  • Experience with CI/CD pipelines for AI/ML systems
  • Publications, blog posts, or presentations on AI agent systems
  • Active engagement with emerging AI technologies and frameworks
Technical Environment
  • Advanced AI/ML frameworks and agent development platforms
  • Cloud infrastructure (AWS and Azure preferred)
  • Modern MLOps and deployment pipelines
  • Integration with industrial systems and IoT devices
  • High-performance computing and distributed systems
What We Offer
  • Leadership role in transformative AI initiatives within manufacturing, logistics and supply chain industries
  • Opportunity to architect and deploy enterprise-scale AI solutions
  • Collaborative environment with access to cutting-edge technology
  • Impact on real-world industrial applications at scale
  • Work with a growing AI team in the thriving Dallas-Fort Worth region
  • Professional growth opportunities in AI and advanced technology
Additional Info

Job Type :
Full-Time

Experience Level :
Mid to Senior Level

Please include Contact Information : dan.sinawat

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