AI Automation Engineer

PGS Worldwide • Chandler, AZ

1d • Onsite

About The Position

PGS Worldwide is seeking an AI Automation Engineer in Chandler, Arizona, for a one-year onsite contract-to-hire role supporting a leading aerospace and defense company. The position develops and deploys AI-enabled automation solutions using LLMs, agentic workflows, Retrieval-Augmented Generation (RAG), containers, CI/CD pipelines, and on-premise infrastructure.

The engineer will design, develop, test, and deploy automation capabilities; integrate LLM services, APIs, engineering tools, and enterprise data sources; and build and support agent-orchestration and RAG solutions. The role also involves deploying and maintaining containerized applications in on-premise and classified environments, supporting automated deployment workflows, troubleshooting applications and infrastructure, and improving deployed solutions’ reliability, observability, availability, and maintainability. The engineer will partner with software, DevOps, infrastructure, and engineering teams to transition solutions into production.

The position pays $93.63 per hour. U.S. citizenship is required, as is the ability to obtain and maintain a U.S. Government Secret clearance. Military veterans and transitioning military members are encouraged to apply.

Requirements

• Bachelor’s degree with at least 2 years of relevant experience, master’s degree with at least 1 year, or PhD with at least 1 year.
• Hands-on experience integrating and deploying LLM-enabled applications.
• Experience with agentic workflows, RAG, model hosting, and inference.
• Experience integrating APIs, LLM services, and agent-orchestration frameworks.
• Experience with Docker or comparable container technologies.
• Experience developing or supporting AI/ML applications in on-premise containerized environments.
• Working knowledge of CI/CD, version control, and automated deployment practices.
• Hands-on experience working in Linux environments.
• Proficiency in Python or Go.
• Experience with RAG pipelines and vector databases.
• U.S. citizenship.
• Ability to obtain and maintain a U.S. Government Secret clearance.

Nice To Haves

• Experience with LangChain, Mastra, or similar agent frameworks.
• Kubernetes or OpenShift experience.
• Experience with GitLab, Jenkins, or similar CI/CD tools.
• Cloud deployment experience.
• Experience with advanced LLM fine-tuning or inference optimization.

Responsibilities

• Design, develop, test, and deploy AI-enabled automation capabilities.
• Integrate LLM services, APIs, engineering tools, and enterprise data sources.
• Build and support agent-orchestration and Retrieval-Augmented Generation solutions.
• Integrate vector databases into AI-enabled applications.
• Deploy and maintain containerized applications in on-premise and classified environments.
• Build and maintain CI/CD pipelines and automated deployment workflows.
• Troubleshoot AI applications, containers, infrastructure, and performance issues.
• Improve reliability, observability, availability, and maintainability of deployed solutions.
• Partner with software, DevOps, infrastructure, and engineering teams to transition automation solutions into production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level