AWS ML Ops Engineer

Job#: 3030947 Job Description: Key Responsibilities Design, build, and deploy cloud-native applications within AWS Develop and implement agent-based (agentic) systems and workflows Write and deploy production-ready agent code Support MLOps processes, including model deployment, monitoring, and iteration Define and manage infrastructure using Terraform (Infrastructure as Code) Rapidly prototype and experiment with emerging technologies and frameworks Collaborate with cross-functional teams to bui

Location: Houston, TX Salary: $55.00 USD Hourly - $65.00 USD Hourly Description: No sponsorship or C2C for this role Must be a w2 employee of The Judge Group Local to Houston only AI Engineer Location: Houston, TX Contract JOB OVERVIEW We are seeking an experienced Applied AI Engineer to build and deploy production-grade Generative AI solutions. This role focuses on designing LLM-based applications, developing scalable AI workflows, and deploying solutions on Google Cloud Platform and/or

AI Software Engineer (Agentic AI & Automation) Overview We are seeking an AI Software Engineer to design and build agentic AI systems that automate real business processes. This role is ideal for a strong software engineer who applies AI to workflow automation, system integration, and decision making - rather than a profile centered on analytics, reporting, or visualization. You will help develop an AI agent platform that takes action: triggering workflows, integrating with enterprise systems,

RESPONSIBILITIES: Kforce has a client in Houston, TX in search of an AI Engineer. Our client is seeking an Applied AI Engineer to join our growing Data & AI team. This role is ideal for an experienced software engineer with a deep understanding of generative AI technologies and a passion for building scalable, production-grade AI solutions. You will be responsible for designing, prototyping, and deploying GenAI-powered applications, while also contributing to our AI platform architecture across