Software Engineer: Automation/ai - Level 2 or 3 (chandler)

Northrop Grumman Northrop Grumman · Aerospace · Chandler, AZ +1 · Software

Software Engineer role focused on developing, deploying, and automating AI/ML solutions, including LLMs and agentic frameworks, within a DevOps environment. Requires experience with CI/CD, containerization, cloud deployment, and integrating models with tools like LangChain. The role involves building and maintaining software solutions, automating workflows, and supporting infrastructure for AI applications.

What you'd actually do

  1. Design, develop, document, test, and debug application software and systems
  2. Automate workflows and processes by building and maintaining CI/CD pipelines and AI applications within a DevOps environment.
  3. Develop and maintain containerized applications to ensure portability, scalability, and reliability.
  4. Provide infrastructure support by troubleshooting, optimizing performance, and maintaining high availability of systems.

Skills

Required

  • Bachelor’s degree with 5 years of professional experience – OR – Master’s degree with 3 years of professional experience – OR – PhD with 1 year of professional experience. Will consider an additional 4+ years of experience in lieu of degree.
  • Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
  • Hands-on experience working in Linux environments, including scripting and system configuration.
  • Proficient in Python or GOLang with a strong background in software development, debugging, and testing.
  • Experience with GitLab CI/CD, version control systems, and automated pipelines for application deployment.
  • Demonstrated experience developing and deploying AI and/or Machine Learning (ML) solutions.
  • Familiarity with APIs and integrating models into applications or agentic frameworks such as Mastra, LangChain, or other similar toolkits for building autonomous agents.
  • Strong understanding of Large Language Models (LLMs), including fine-tuning, hosting, and inference optimization.
  • Experience with developing and hosting AI/ML models in cloud-based environments (e.g., AWS, Azure, or GCP) or on-premise containerized infrastructure.
  • Familiarity with vector databases, retrieval-augment

Nice to have

  • Active DoD Secret Security Clearance or higher

What the JD emphasized

  • Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
  • AI and/or Machine Learning (ML) solutions
  • Large Language Models (LLMs)
  • developing and hosting AI/ML models
  • cloud-based environments
  • containerized infrastructure
  • vector databases

Other signals

  • developing and deploying AI and/or Machine Learning (ML) solutions
  • integrating models into applications or agentic frameworks
  • Large Language Models (LLMs)
  • developing and hosting AI/ML models
  • cloud-based environments
  • containerized infrastructure
  • vector databases
  • CI/CD pipelines
  • automation