AI Software Engineer II

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.

• Bachelors degree with 2 years of professional experience;
• OR a Masters 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.