Software Engineer (AI-Enabled Platforms & Tools)

This is not a maintenance role. This is a reinvention role located in Huntsville AL.

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 is designed for an engineer who can independently deliver features within established architectures while continuing to grow technical depth under the guidance of senior and principal engineers. The engineer applies sound software engineering judgment contributes to design discussions at the feature or component level and produces reliable maintainable code for production systems.

This is a hands-on engineering role.

This is a role for builders who bias toward action who believe disruption can coexist with rigor and who want to apply cutting-edge AI to the problems that matter most.

Mission Context

Our teams develop software that underpins critical national missionsaviation healthcare energy and other regulated or safety-critical domains. These systems demand:

High reliability security and resilience
Careful modernization of legacy architectures
Responsible application of AI to improve speed and quality without compromising trust
You will help implement and evolve the platforms and tools that enable this modernization contributing directly to systems that matter.

Why Join Us

Work on real mission-critical systemsnot experimental demos
Gain hands-on experience with AI-enabled software in production environments
Learn from senior and principal engineers while maintaining meaningful ownership
Build a long-term technical career with a clear and structured growth path

Key Responsibilities
Software Development

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
AI-Enabled Capabilities (Feature-Level Execution)

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
Cloud & Platform Contributions

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
Collaboration & Professional Practice

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

Required Qualifications
Bachelors degree in Computer Science Engineering or a related technical field and 8 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.
Ability to obtain a Secret security clearance.

Preferred Qualifications
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

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.