AI Software Developer - Remote Job Eagan Minnesota USA,Software Development

Position: AI Software Developer - All Levels Remote

Leidos is seeking AI Software Developers (Jr, Mid, Senior levels). Applicants of any level may apply to this position and will be evaluated based on the criteria below. Any Salary listed may not be fully reflective of every level.

You will join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP). L-CAP is a mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture, enabling next-generation air traffic management capabilities. We are building with an AI-first engineering mindset, embracing emerging AI capabilities and modern development practices to accelerate delivery, improve software quality, and continuously evolve how we design and build mission-critical systems.

This role operates within a SAFe/Agile framework as part of an Agile Release Train (ART) delivering iterative value across the program.

In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and Dev Sec Ops teams. The primary focus is on developing microservices-based applications within an Agile/SAFe environment.

Experience with
AI-enabled or data-driven systems is advantageous. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation
.

This is a hybrid position requiring 3 days onsite and 2 days working from home, if you are located within a commutable distance (Less than 1 hour's drive one-way during normal traffic) from Gaithersburg, MD;
Eagan, MN; or Egg Harbor Township, NJ. However, if you do not reside within a commutable distance, you may be considered for a 100% remote role.

This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability.

What You’ll Do

Design and develop microservices that form the backbone of the L-CAP automation platform
Collaborate with architects to translate system designs into robust, scalable implementations
Implement RESTful APIs and event-driven integrations within a hybrid cloud data mesh architecture
Integrate with relational and No

SQL databases, ensuring data consistency and performance
Perform performance tuning and optimization of services operating in distributed environments
Conduct and lead code reviews, enforcing coding standards and best practices across the team
Mentor junior developers, providing technical guidance and supporting their professional growth
Troubleshoot and resolve complex issues spanning multiple services, APIs, and infrastructure layers
Contribute to technical documentation including design documents, API specifications, and runbooks
Participate actively in SAFe/Agile ceremonies and contribute to PI planning and backlog refinement
Perform performance engineering activities including profiling, optimization, and latency analysis for distributed ATC services
Maintain interface stability and backward compatibility when modernizing existing operational software into service-based implementations
Modernize legacy ATC automation functions into cloud-native service implementations preserving operational behavior and performance characteristics
Embrace an AI-first engineering culture by actively adopting AI-assisted development tools, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity.

Core Technical Qualifications

Bachelor’s degree in Computer Science,…