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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer Level 3 or 4 (AHT) - **Company:** Northrop Grumman - **Location:** Aurora, CO, United States - **Experience:** Experienced - **Salary:** $137,800.0 - $206,800.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automation of Tests, Bash Shell, Unix, Static Program Analysis, Code Review, Continuous Integration, Information Engineering, Software Design Patterns, Linux, Github, Statistical Hypothesis Testing, Python (Programming Language), PostgreSQL, MATLAB, MongoDB, MySQL, NoSQL, NumPy, Scrum Methodology, Redis, Signal Processing, Software Engineering, SQL Databases, Reinforcement Learning, Test-Driven Development (TDD), Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Git, Fastapi, Pandas, Containerization, Gitlab-ci, ONNX (Open Neural Network Exchange) Format, Production Code, Data Analytics, Machine Learning Operations, Oracle Cloud Infrastructure, Grpc, Code Restructuring, Software Version Control, Data Pipelines, Docker - **Published:** August 20, 2026 - **Apply:** https://dejobs.org/x/x/D409E58D997A4445ADEDE4DF95E268B5/job/ ## About the Role * Level 3: Bachelor's degree in science with 5+ years of software development experience; 3+ years with a Master's; or 4 additional years of experience in lieu of a degree. * Level 4: Bachelor's degree in science with 8+ years of software development experience; 6+ years with a Master's; or 4 additional years of experience in lieu of a degree. * Must have an active Top Secret clearance with SCI eligibility at time of application. * Deep expertise in ML fundamentals - supervised, unsupervised, reinforcement learning, and statistical modeling. * Hands-on experience with LLMs - model configuration, prompt engineering, output validation, and building agentic workflows. * Strong statistical background - hypothesis testing, experimental design, A/B testing, and data-driven inference. * Proficient in Python - production-grade code, testing, and refactoring. * Experience with the scientific Python stack - NumPy, pandas, PyTorch. * Version control & containerization - Git (branching, PR workflow) + Docker (or OCI-compatible containers). * Linux-based development - strong Bash/Unix scripting skills. * End-to-end problem-solving - troubleshoot and optimize data pipelines, model training, and serving. * Self-starter attitude - takes ownership and drives projects forward., * Data engineering & cleaning - robust pipelines for noisy, imbalanced, or sparse real-world datasets; experience with feature stores. * Database expertise - SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems. * MLOps & productionization - CI/CD for ML (GitHub Actions, GitLab CI), experiment tracking (MLflow, Weights & Biases), model registry, automated testing, and monitoring/drift detection. * Model serving & APIs - FastAPI, Flask, gRPC, TorchServe, ONNX Runtime * Security & compliance awareness - data-privacy regulations and secure model deployment practices. * Software engineering rigor - test-driven development, code reviews, static analysis, design patterns, documentation. * Agile teamwork - Scrum/Kanban, cross-functional collaboration, mentoring junior engineers. * MATLAB - for legacy code or signal-processing tasks. * Fast-paced, results-driven environment - comfortable with shifting priorities and tight timelines. * Outstanding communication - clearly articulate technical concepts to both technical and non-technical stakeholders; produce thorough documentation. * Knowledge of bias mitigation, fairness metrics, and responsible AI practices. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)