Software Engineering – Intelligent Platforms, Mid

Leidos

1d•$87,100 - $157,450

About The Position

At Leidos, we are advancing mission-critical platforms that simulate, interact with, and act on complex technical and business environments. These platforms leverage agent-based architectures, automation, and AI-driven capabilities to enable intent-driven interaction with systems such as network operations and enterprise processes. As a mid-level Software Engineer, you will be a hands-on contributor building backend services, intelligent agents, and automation workflows that power these platforms. You will work within a multi-disciplinary team of software engineers, systems engineers, ISSEs, and security professionals, collaborating in GitHub to deliver secure, scalable, and compliant AI-enabled solutions. This role is ideal for a developer who is excited about treating systems, automation, and knowledge as code—from infrastructure and deployment pipelines to agent behavior, workflows, and even operational or business logic. You enjoy working with AI and LLMs, building agents that reason and act, and expressing complex intent declaratively through version-controlled artifacts that can be tested, reviewed, and evolved over time.

Requirements

Must have and maintain a Secret security clearance.
BS degree and 4+ years of professional software development experience
Proficiency in at least one modern programming language (Python preferred; Java or Go acceptable)
Experience building backend services, APIs, or microservices
Exposure to AI/ML systems, LLMs, or intelligent automation (through professional work or applied projects)
Familiarity with Infrastructure as Code concepts and tooling
Experience working in GitHub with collaborative development practices
Ability to operate effectively in environments with evolving or ambiguous requirements

Nice To Haves

Experience building or orchestrating agents, workflows, or autonomous systems
Familiarity with LLM integration patterns (prompting, tools/functions, retrieval, etc.)
Experience with containerization and orchestration technologies (Docker, Kubernetes)
Familiarity with cloud platforms (AWS GovCloud preferred)
Experience developing AI-enabled systems in regulated or secure environments
Experience applying “as code” approaches beyond infrastructure (e.g., configuration-as-code, policy-as-code, workflows-as-code, documentation-as-code)

Responsibilities

Design, develop, and maintain backend services and microservices that support intelligent, agent-based platforms
Build and integrate autonomous or semi-autonomous agents that interact with technical and business systems
Develop AI-enabled workflows leveraging LLMs for decision support, automation, analysis, and system interaction
Implement APIs and orchestration logic that enable agents and services to collaborate effectively
Implement and maintain Infrastructure as Code (IaC) to provision and manage cloud environments
Collaborate with systems engineers and ISSEs to translate requirements and security controls into code
Contribute to GitHub-based development workflows, including pull requests, code reviews, and documentation
Support CI/CD pipelines and secure deployments aligned with ATO requirements
Produce clear technical documentation covering code, agent behavior, and system interactions
Contribute to an “everything as code” approach, expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code