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GenAI Engineer

Job in Irving, Dallas County, Texas, 75014, USA
Listing for: Experis
Full Time position
Listed on 2026-07-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer
Job Description & How to Apply Below

GenAI Engineer

Our client, a leading organization in the technology and innovation sector, is seeking a GenAI Engineer to join their team. As a GenAI Engineer, you will be part of the AI and Cloud Solutions department supporting cross-functional teams. The ideal candidate will have strong problem-solving skills, excellent communication, and a collaborative mindset, which will align successfully in the organization.

Location:

Irving, TX (On-site role; hybrid work schedule: 3 days onsite, 2 days remote)

What's the Job?
  • Design and develop advanced generative AI models and solutions leveraging cloud platforms such as Azure, AWS, and Google Cloud.
  • Implement and optimize multi-cloud application architectures and integration patterns to ensure scalable and secure AI solutions.
  • Collaborate with cross-functional teams to build, deploy, and monitor machine learning models and conversational AI systems.
  • Utilize containerization tools like Docker and Kubernetes for deployment and management of AI applications.
  • Apply MLOps best practices for model lifecycle management, automation, and production monitoring to ensure high-quality AI services.
What's Needed?
  • Experience with cloud services such as Azure Machine Learning, Azure Functions, AWS Lambda, Sage Maker, or Google Vertex AI.
  • Proficiency in Python for backend development and React for frontend/UI design.
  • Hands-on experience with building and consuming REST APIs, microservices, and distributed systems.
  • Strong understanding of cloud architecture, security, and scalability principles.
  • Experience with relational, No

    SQL, and vector databases, along with container-based deployment models.
What's in it for me?
  • Opportunity to work on innovative AI projects with leading cloud technologies.
  • Collaborative and inclusive work environment supporting professional growth.
  • Hybrid work model promoting work-life balance.
  • Engagement in cutting-edge AI and machine learning solutions.
  • Potential for contract-to-permanent employment for the right candidate.
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