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.

Required Qualifications:

- 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.

Email your resume to [email protected] to apply!​​​​​​