Tittle :AI Software Engineer II Work Location: Onsite in Chandler, AZ Duration: 12 months Terms: W2 Contract Work Authorization: US Citizen; must have the ability to obtain/maintain a Secret security clearance
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 containers, 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.
Required Qualifications:
Bachelor’s degree with 2 years of professional experience;
OR a Master’s degree with 1 year of professional experience;
OR a PhD with 1 year of professional experience.
Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance.
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.
Email your resume to usjobs@mavensoft.com to apply!