Principal AI Software Engineer

Northrop Grumman

Principal AI Software Engineer designing and deploying state-of-the-art AI applications at Northrop Grumman. Collaborate with teams to integrate AI solutions in production environments while ensuring quality and best practices.

Posted 7/24/2026full-timeEl Segundo • California • 🇺🇸 United StatesLead💰 $114,000 - $171,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI/ML applications, with a strong foundation in software engineering best practices and experience in rapid prototyping. Holds an active US Government clearance and possesses a solid understanding of AI models and algorithms.

Highest-signal resume keywords

AI/ML Application DevelopmentExperience with AI Models and AlgorithmsDeployment of AI LLM ToolsSoftware Engineering Best PracticesActive US Government Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ModelsDeep LearningGenetic AlgorithmsSoftware DevelopmentSoftware TestingRapid PrototypingProof-of-Concept DemonstrationsIntegration TestingRequirement VerificationSource Control

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

VLLMOpencodeAiderAzure OpenAI

Industry Keywords

Computer ScienceSTEM DegreeLarge Code BasesMonoreposSoftware Architecture

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Design, develop, document, test, debug, and deploy state-of-the-art AI/ML applications.
Collaborate with cross-functional team to deploy AI/ML solutions in development and production environments.
Design and develop requirements for software development and software testing environments.

Requirements

What you’ll need

Bachelor’s degree in Computer Science or related STEM degree with 5 years' experience OR Master's degree in Computer Science or related STEM degree with 3 years' experience
Experience with one or more AI models and algorithms: LLMs, DNN, genetic algorithms, embedding models, deep learning, etc.
Experience with using and deploying AI LLM tools such as: vLLM, opencode, aider, Azure OpenAI, etc.
Experience with working in large code bases containing multiple languages (e.g. monorepos)
Experience with developing requirements and working with software in an integration/requirement verification/testing environment.
Ability to carry out rapid prototyping and proof-of-concept demonstrations.
Understanding of software engineering best practices including source control and software architecture
Must have an active US Government clearance (with a background investigation within the past 6 years or enrolled into Continuous Evaluation).

Benefits

Comp & perks

Health insurance coverage
Life and disability insurance
Retirement and Savings Plan
Paid holidays
Paid time off (PTO) for vacation and/or personal business
Flexible work arrangements
Professional development opportunities