RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: No
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time
DescriptionThis requisition may be filled at the Level 2 or Level 3 based on requirements listed below. The Northrop Grumman Aeronautics Sector in
Space Park Redondo Beach/El Segundo, CA is seeking a highly motivated
AI SoftwareEngineer to join our team. Our AI team is growing and there is an opportunity to work closely with senior AI subject matter experts while simultaneously supporting the business. We are looking for a talented AI Software Engineer who can take small to medium sized projects from concept to production quickly with limited technical guidance. You will build and fine-tune Retrieval-Augmented Generation (RAG) pipelines, Agentic AI pipelines, and large language model (LLM) solutions that solve concrete business problems. You will work closely with product owners, data scientists, and senior engineers to ship reliable, scalable AI services. Successful candidates will have demonstrated the ability to build AI solutions to solve customer problems. They will have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The selected candidates will work closely with AI engineers and business partners to accomplish the following:
- 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.
- Rapid Prototyping & Delivery - Turn medium-priority use-case specifications into working AI prototypes within 2-4 weeks and iterate to production quality.
- RAG, Agentic AI, and LLM Development - 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.
- Model Integration - Embed fine-tuned models into existing micro-service architectures (REST/GraphQL, gRPC) and expose them via APIs or internal SDKs.
- Performance & Reliability - Set up monitoring, logging, and automated testing (unit, integration, latency) for AI services; troubleshoot model drift and latency issues.
- Data Preparation - Collaborate with data engineers to curate, clean, and annotate domain-specific datasets for fine-tuning and evaluation.
- Documentation & Knowledge Sharing - Write clear technical documentation, create example notebooks, and mentor junior teammates on AI best practices.
- Continuous Improvement - Stay current with the latest LLM research, open-source tools, and industry trends; propose upgrades to the AI stack.
Basic Qualifications:- For level 2 consideration: 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 3 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
- 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.
Preferred Qualifications:- 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
- Experience building and training large neural networks on custom datasets
- Strong understanding of neural network fundamentals, including model architectures, loss functions, optimization, regularization, and evaluation methodologies
- Experience with supervised learning, unsupervised learning, reinforcement learning, and statistical modeling
- Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)
- Experience working in Agile software development environment
- Experience with leading teams and actively participating in the development of winning white papers and proposals for DoD customers
- Familiarity with explainable AI, adversarial AI, responsible AI (NIST AI Risk Framework)
- Familiarity with signal processing, information theory, topological data analysis, and/or genetic algorithms.
Primary Level Salary Range: $111,000.00 - $166,600.00
Secondary Level Salary Range: $137,800.00 - $206,800.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
