Software Engineer (AI-Enabled Platforms & Tools)

Leidos is seeking a Software Engineer to contribute to the development of AI-enabled software platforms and developer tools that support modernization of mission-critical systems. This role involves delivering features within established architectures and applying sound software engineering judgment to produce reliable code for production systems.

Responsibilities:

• Design and implement moderately complex software features within established system architectures
• Develop and maintain services, APIs, and supporting components using modern programming languages such as Python, Java, Go, or TypeScript
• Write and maintain unit and integration tests to ensure correctness, reliability, and maintainability
• Participate actively in code reviews, incorporating feedback and contributing constructive input to peers
• Implement AI-enabled features using defined tools, frameworks, and patterns, such as: API-based AI integrations, Prompt-driven or workflow-based AI features, Retrieval- or data-assisted application components
• Validate AI-assisted behavior using established testing and review processes
• Apply defined AI safety, governance, and review practices
• Contribute to applications deployed in cloud-native environments
• Develop and support containerized services and CI/CD pipelines
• Troubleshoot and resolve routine application-level and service-level issues
• Collaborate with platform and infrastructure teams when deeper system changes are required
• Work as part of an agile delivery team, collaborating with product managers, designers, and other engineers
• Participate in design discussions related to features or subsystems
• Provide informal technical support to less-experienced engineers
• Demonstrate accountability for assigned features from development through deployment

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field and 4+ years of relevant software engineering experience. May consider additional experience in lieu of degree
• Proficiency in at least one modern programming language (e.g., Python, Java, Go, TypeScript)
• Experience developing or consuming RESTful APIs or service-based architectures
• Experience using Git and standard version control workflows
• Working knowledge of software testing practices and CI/CD pipelines
• Ability to work independently on defined tasks and features with minimal supervision
• Strong written and verbal communication skills
• Must be authorized to work in the U.S
• Exposure to AI/ML or LLM-based systems through professional experience, projects, or coursework
• Familiarity with one or more of the following: Containers (Docker), Kubernetes concepts, Cloud platforms (AWS, Azure, or GCP)
• Experience contributing to systems operating in regulated, secure, or high-reliability environments
• Interest in developer tools, platform engineering, or software modernization