Senior AI Software Engineer
Listed on 2026-02-24
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Software Development
Software Engineer, AI Engineer, Senior Developer, Cloud Engineer - Software
Description
Leidos is seeking a Senior Software Engineer with AI‑enabled development experience based in Gaithersburg, MD;
Eagan, MN; or Egg Harbor, NJ to support the UK National Airspace System Replacement Product Delivery Team (UK NASR PDT).
This role offers the opportunity to work on real‑time, safety‑critical systems that directly support national air traffic operations for the United Kingdom. You will help modernize a high‑availability air traffic management platform using both traditional systems engineering practices and AI‑augmented software development techniques.
This is a hybrid schedule with 3 days onsite and 2 days remote.
What You’ll Do- Design, develop, test, and maintain software for real‑time, high‑availability systems
- Apply AI‑assisted development tools to accelerate coding, refactoring, debugging, and automated test generation
- Use AI responsibly across the full SDLC — including requirements analysis, design, implementation, testing, documentation, and code review
- Analyze complex system requirements and translate them into efficient, maintainable designs
- Develop and maintain automation scripts across development, test, and production environments
- Promote code quality, reuse, traceability, and cross‑team collaboration
- Hands‑on experience using AI‑assisted coding tools (e.g., Claude Code, Git Hub Copilot, or similar) for:
- Code generation and refactoring
- Debugging and automated test creation
- IDE‑integrated workflows
- Familiarity with large language model platforms (OpenAI, Anthropic, Google Gemini, etc.)
- Experience designing effective prompts and validating AI‑generated output
- Understanding of human‑in‑the‑loop development and responsible AI usage
- Ability to evaluate AI‑generated outputs for correctness, performance, safety, and bias — especially in regulated or safety‑critical environments
- Experience incorporating AI/ML techniques into software engineering workflows
- Experience with automated testing frameworks
- Bachelor’s degree in Computer Science or related field with 8+ years of relevant experience OR Master’s degree with 6+ years of relevant experience
- Strong object‑oriented programming experience
- Proficiency in C, C++, and/or Ada (Ada preferred but not required)
- Experience developing real‑time, multi‑threaded systems
- Familiarity with Linux (Red Hat), virtual machines, and hypervisors
- Experience with low‑level communications protocols (TCP/IP, UDP, SCTP)
- Experience with hardware or complex system integration
- Experience with source control and configuration management tools
- Strong communication skills and ability to work independently and within cross‑functional teams
- Ability to obtain and maintain a Public Trust clearance
- US citizenship required
You’ll work on systems where performance, precision, and reliability matter — every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission‑critical software that supports national infrastructure.
If you’re excited by solving complex problems in regulated, real‑world environments — and using AI as a force multiplier rather than a shortcut — we’d like to talk.
Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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