AI/Automation Engineer 2
Chipton-Ross is seeking multiple AI/Automation Engineer 2's for a contract opportunity in Chandler, AZ.
BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):
o 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.
o Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance.
o 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.
o Experience integrating APIs, LLM services, and agent orchestration frameworks into applications or operational workflows. Experience with LangChain, Mastra, or comparable toolchains is welcome.
o Experience with Docker or comparable container technologies is required. Experience with orchestration platforms such as Kubernetes or OpenShift is beneficial.
o Experience developing, hosting, or supporting AI/ML applications in on-premise containerized environments; cloud-based deployment experience is also valued.
o Hands-on experience working in Linux environments, including scripting and system configuration.
o Proficiency in Python or Go (Golang) with a strong background in software development, debugging, and testing.
o Experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases.
o Strong working understanding of LLM deployment considerations, including hosting, inference, and operational reliability.
POSITION RESPONSIBILITIES:
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-premise and classified environments.
This role sits at the intersection of AI, automation, CI/CD, and infrastructure, giving you the opportunity to:
o Build and integrate AI-enabled automation capabilities into engineering workflows.
o Deploy and support LLM-enabled, agentic, and RAG-based solutions.
o Enable reliable delivery through containerization, CI/CD, and infrastructure support.
In this role, you will:
o Design, develop, document, test, and debug AI-enabled automation capabilities that integrate existing LLM services, APIs, and engineering tools into operational workflows.
o Build, deploy, and support agent orchestration frameworks and Retrieval-Augmented Generation (RAG) solutions, including integrations with vector databases and enterprise data sources.
o Support containerized, on-premise and classified environments at scale, with cloud-based deployment exposure also valued.
o Troubleshoot deployed AI and automation solutions, resolve integration and performance issues, and improve observability, availability, and maintainability over time.
o Develop, deploy, and maintain containerized applications using Docker or comparable container technologies, with attention to load balancing, virtual-machine resource utilization, and system performance.
o Build and maintain CI/CD pipelines, version-control practices, and automated deployment workflows that enable reliable delivery of AI-enabled tools and services.
o Partner with software, DevOps, infrastructure, and mission stakeholders to identify automation opportunities and transition solutions into production use.
o Provide infrastructure support by resolving container, system-performance, resource-utilization, and availability issues that affect deployed solutions.
o Communicate clearly with technical and non-technical stakeholders, both in writing and verbally.
o Perform other related duties as assigned.
PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):
o 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
REQUIRED EDUCATION:
Bachelor's Degree is required.
School must be accredited.
WORK HOURS:
9/80. On-site in Chandler, AZ.
MISCELLANEOUS:
Applicants responding to this position will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information.
Job Location: Chandler, AZ
Rate: Up to $108.32 DOE
Duration: 12 months
Input Date: 10/20/2026
Attention: Zachary Fasano
Address: 420 CULVER BLVD
City, State: PLAYA DEL REY, CA 90293
Phone: 310/414-7800 X286
800 Phone: 800/927-9318
Fax Phone: 310/414-7808
Email: zfasano@chiptonross.com
Website: www.chiptonross.com
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