AI Software Engineer II - RAG & LLM Ops (Secret Clearance)

Mavensoft Technologies, LLC

Chandler (AZ)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Mavensoft Technologies, LLC in Chandler, AZ seeks an AI Software Engineer II to design, develop, and deploy AI-enabled automation that integrates LLM services and enterprise tools in operational workflows. This onsite role requires strong Python or Go skills and hands-on experience with Docker, Kubernetes, and RAG pipelines.

You will build agent orchestration frameworks, support on-premises and cloud deployments, and collaborate with DevOps and mission stakeholders to ensure reliability,

Qualifications

  • BS/MS/PhD with DoD Secret clearance eligibility.
  • Experience deploying LLM-enabled apps and RAG pipelines.
  • Proficient in Python or Go for software development.
  • Experience with Docker/Kubernetes/OpenShift.
  • CI/CD tooling (GitLab, Jenkins) and Linux scripting.

Responsibilities

  • Design and develop AI-enabled automation integrating LLMs and APIs.
  • Build agent orchestration frameworks and RAG solutions.
  • Support on-prem and cloud deployments in secure environments.
  • Troubleshoot performance and improve observability and reliability.
  • Develop and maintain CI/CD pipelines and deployment workflows.
  • Collaborate with DevOps, infrastructure, and mission stakeholders.

Skills

Design and development of AI-enabled运

Education

Bachelor’s degree with 2 years experience
Master’s degree with 1 year experience
PhD with 1 year experience

Tools

Docker
Kubernetes
OpenShift
LangChain
Mastra
GitLab
Jenkins

Job description

Mavensoft Technologies, LLC in Chandler, AZ seeks an AI Software Engineer II to design, develop, and deploy AI-enabled automation that integrates LLM services and enterprise tools in operational workflows. This onsite role requires strong Python or Go skills and hands-on experience with Docker, Kubernetes, and RAG pipelines.

You will build agent orchestration frameworks, support on-premises and cloud deployments, and collaborate with DevOps and mission stakeholders to ensure reliability,

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