AI Engineer Software (level 2 or 3)

Northrop Grumman Northrop Grumman · Aerospace · Redondo Beach, CA +2 · Software

AI Software Engineer at Northrop Grumman to build and fine-tune RAG pipelines, Agentic AI pipelines, and LLM solutions. The role involves rapid prototyping, model integration, performance monitoring, data preparation, and continuous improvement, working closely with product owners, data scientists, and senior engineers to ship reliable, scalable AI services. Requires proficiency in Python and familiarity with RAG/agentic AI concepts, cloud platforms, and MLOps.

What you'd actually do

  1. Work with customers to define, develop, and deliver AI solutions to meet mission and sector needs.
  2. Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions.
  3. Collaborate with cross-functional teams to deploy machine learning algorithms for testing and is in production systems.
  4. Maintain understanding of the cutting-edge technologies in AI/ML.
  5. Regularly demonstrate progress to customers.

Skills

Required

  • 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
  • Entry level professional AI/software engineering experience; demonstrated ability to ship production-grade code
  • Ability to obtain and maintain final US Government Secret Clearance
  • Must have ability to obtain and maintain Program Access (PAR) within a reasonable period of time, as determined by the company to meet its business needs
  • Strong problem-solving skills and ability to work independently on moderately scoped projects.
  • Demonstrated ability to carry out rapid prototyping and proof-of-concept demonstrations using novel AI methods to solve real-world challenges.
  • Ability to effectively communicate system properties and results to technical staff as well as non-technical management and leadership stakeholders.
  • 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).
  • Understanding of software engineering best practices: version control (Git), CI/CD pipelines, automated testing, code reviews.

Nice to have

  • Active and final US Government Secret Clearance
  • Ability to obtain and maintain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)
  • Experience working with DoD/DoW customer

What the JD emphasized

  • Ability to obtain and maintain final US Government Secret Clearance
  • Must have ability to obtain and maintain Program Access (PAR) within a reasonable period of time, as determined by the company to meet its business needs

Other signals

  • Build and fine-tune RAG pipelines
  • Agentic AI pipelines
  • LLM solutions
  • ship reliable, scalable AI services
  • Rapid Prototyping & Delivery
  • Model Integration
  • Performance & Reliability
  • Data Preparation
  • Continuous Improvement