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Email Location:

Chandler, Arizona Country:

United States Worksite Policy:

Onsite Job Type:

Contract Category:

Information Technology (IT)

ID:

#90857 Job Description An aerospace client is looking for an AI / Automation Engineer who will design, develop, deploy, and support AI-enabled automation solutions that integrate existing LLM and agentic capabilities into engineering and infrastructure workflows.

Location:

Chandler, AZ 85286 (Onsite)

Position:

AI /

Automation Engineer Pay Rate :

$87.81/hr on W2 (DOE)

Duration:

12 months or longer

Schedule:

9×80 A As an AI / Automation Engineer in Chandler, AZ, you'll be a key contributor to missions of national importance, helping define what's possible from day one. This position is 100% onsite and cannot accommodate telecommute work. We are seeking a highly motivated AI / Automation Engineer to join our dynamic team. In this role, you will design, develop, deploy, and support AI-enabled automation solutions that integrate existing LLM and agentic capabilities into engineering and infrastructure workflows. The role emphasizes bringing AI-enabled tools into operational use in on-premises and classified environments. This role sits at the intersection of AI, automation, CI/CD, and infrastructure , giving you the opportunity to: Build and integrate AI-enabled automation capabilities into engineering workflows Deploy and support LLM-enabled, agentic, and RAG-based solutions Enable reliable delivery through containerization, CI/CD, and infrastructure support

Responsibilities:

Design, develop, document, test, and debug AI-enabled automation capabilities that integrate existing LLM services, APIs, and engineering tools into operational workflows. Build, deploy, and support agent orchestration frameworks and Retrieval-Augmented Generation (RAG) solutions , including integrations with vector databases and enterprise data sources. Support containerized, on-premises and classified environments at scale, with cloud-based deployment exposure also valued. Troubleshoot deployed AI and automation solutions , resolve integration and performance issues, and improve observability, availability, and maintainability over time. Develop, deploy, and maintain containerized applications using Docker or comparable container technologies, with attention to load balancing, virtual-machine resource utilization, and system performance. Build and maintain CI/CD pipelines , version-control practices, and automated deployment workflows that enable reliable delivery of AI-enabled tools and services . Partner with software, DevOps, infrastructure, and mission stakeholders to identify automation opportunities and transition solutions into production use. Provide infrastructure support by resolving container, system-performance, resource-utilization, and availability issues that affect deployed solutions. Communicate clearly with technical and non-technical stakeholders, both in writing and verbally. Perform other related duties as assigned. Basic Qualifications US Citizen required Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance. Bachelor's degree with 2 years of professional experience

• OR•Master's degree with 1 years of professional experience•OR•PhD with 1 year of professional experience.

Hands-on experience integrating and deploying LLM-enabled applications, including model hosting, agentic workflows, RAG, and inference considerations. Experience with advanced fine-tuning and inference optimization is preferred and may be developed in the role Experience integrating APIs, LLM services, and agent orchestration frameworks into applications or operational workflows. Experience with LangChain, Mastra, or comparable toolchains is welcome Experience with Docker or comparable container technologies is required. Experience with orchestration platforms such as Kubernetes or OpenShift is beneficial Experience developing, hosting, or supporting AI/ML applications in on-premise containerized environments ; cloud-based deployment experience is also valued Working knowledge of CI/CD , version control, automated deployment practices, and infrastructure fundamentals. Experience with tools such as GitLab, Jenkins, or similar platforms is preferred Hands-on experience working in Linux environments, including scripting and system configuration. Proficiency in Python or Go (Golang) with a strong background in software development, debugging, and testing. Experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases . Strong working understanding of LLM deployment considerations , including hosting, inference, and operational reliability.

About our client:

Our client is a world leader and premier innovator in aerospace, with over 100,000 top talent employees providing the most advanced products and technologies in the industry. With numerous awards and recognitions, they offer continuous growth, learning, and development for their employees.

About APR:

Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Don't miss out on this amazing opportunity! If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you! #SLA Apply Now "

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