AI Engineer, Level 2 or 3

Northrop Grumman

AI Software Engineer designing and implementing AI solutions at Northrop Grumman in California. Collaborating with cross-functional teams and leveraging cutting-edge AI technologies and machine learning algorithms.

Posted 6/16/2026full-timeRedondo Beach • California • 🇺🇸 United StatesJuniorMid-Level💰 $111,000 - $166,600 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLGoogle Cloud PlatformGraphQLGRPCKubernetesPythonPyTorch

About the role

Key responsibilities & impact

Work with customers to define, develop, and deliver AI solutions to meet mission and sector needs
Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions
Collaborate with cross-functional teams to deploy machine learning algorithms for testing and is in production systems
Maintain understanding of the cutting-edge technologies in AI/ML
Regularly demonstrate progress to customers
Turn medium‑priority use‑case specifications into working AI prototypes within 2‑4 weeks and iterate to production quality
Design and implement retrieval‑augmented generation pipelines and agentic workflows integrating pretrained LLMs (e.g., GPT‑4/5/OSS, Llama) though APIs and self-hosted model deployments
Embed fine‑tuned models into existing micro‑service architectures (REST/GraphQL, gRPC) and expose them via APIs or internal SDKs
Set up monitoring, logging, and automated testing (unit, integration, latency) for AI services; troubleshoot model drift and latency issues
Collaborate with data engineers to curate, clean, and annotate domain‑specific datasets for fine‑tuning and evaluation
Write clear technical documentation, create example notebooks, and mentor junior teammates on AI best practices
Stay current with the latest LLM research, open‑source tools, and industry trends; propose upgrades to the AI stack

Requirements

What you’ll need

Bachelor's degree in Computer Science or related STEM field and 2 years of relevant experience OR Master's degree in Computer Science or related STEM field with relevant entry level experience for Level 2 consideration
Bachelor's degree in Computer Science or related STEM degree and 5 years with Master's degree in Computer Science or related STEM field and 3 years of relevant experience for Level 3 consideration
Entry level professional AI/software engineering experience; demonstrated ability to ship production-grade code
Ability to obtain and maintain final US Government Secret Clearance
Strong problem‑solving skills and ability to work independently on moderately scoped projects
Proficiency in Python (including libraries such as PyTorch, Hugging Face Transformers, LangChain, LangGraph)
Familiarity with RAG and agentic AI concepts: vector stores (e.g., Pinecone, FAISS, Milvus), embeddings, similarity search, prompt engineering, function calling or tool use, structured outputs
Experience developing AI solutions using LLMs, Agentic AI, MLOps pipelines, Cloud services, ETL, evaluation of AI solution, services, containers and container orchestration
Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

Benefits

Comp & perks

health insurance coverage
life and disability insurance
savings plan
Company paid holidays
paid time off (PTO) for vacation and/or personal business

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPyTorchHugging Face TransformersLangChainLangGraphMLOpsETLCloud servicesDockerKubernetes

Soft Skills

problem-solvingindependent workcollaborationmentoringcommunication

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceUS Government Secret Clearance