Software Engineer – AI, Autonomy and Platform Development

Leidos

. Design and build AI agents and reasoning services, including LLM-based agents, planning, and inference .

Posted 11/11/2026full-timeUnited StatesMid-LevelSenior💰 $107,900 - $195,050 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI agents and reasoning services, with a strong focus on software development in modern programming languages. Proficient in CI/CD practices, automated testing, and integrating autonomy software across edge and cloud environments.

Highest-signal resume keywords

AI/ML-Enabled Systems DevelopmentCI/CD Pipeline ManagementSoftware Development in Python, C++, Rust, Java, Go, or TypeScriptExperience with AI-Assisted Development ToolsGit-Based Workflows and DevSecOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI Agent DesignAutonomy Software IntegrationAPI DevelopmentAutomated TestingCI/CD Pipeline BuildingIncident ResponseTechnical-Debt ReductionObservabilityReusable Component Packaging

Soft Skills

Strong Communication SkillsCross-Functional Team Collaboration

Tools & Technologies

GitHub CopilotCursorClaude CodeCI/CD ToolsAutomated Testing Tools

Certifications & Qualifications

Top Secret Security Clearance

Industry Keywords

AIMachine LearningAutonomous SystemsDevSecOpsSoftware Engineering

Tech Stack

Tools & technologies

CloudJavaPythonRustTypeScriptC++Go

About the role

Key responsibilities & impact

Design and build AI agents and reasoning services, including LLM-based agents, planning, and inference
Develop autonomy software and integrate it with sensors, platforms, and hardware across edge and cloud environments
Design and develop platform software, APIs, SDKs, data and knowledge services, and user-facing applications
Package components as reusable, secure, well-documented assets
Build and maintain CI/CD pipelines, automated testing, and release evidence including SBOM, provenance, and signing
Own production software, including observability, reliability, and incident response
Contribute to engineering standards, reusable patterns, and technical-debt reduction
Collaborate with program teams and architects to turn customer needs into repeatable capabilities
Use AI-assisted development tools in daily engineering and help teams adopt them responsibly
Evaluate emerging AI, autonomy, and developer-productivity technologies and scale effective solutions

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, combined with 4+ years of experience for early career level; 8+ years for mid level; or 12+ years for senior level (additional years of experience may be considered in lieu of a degree)
Hands-on software development experience in one or more modern languages such as Python, C++, Rust, Java, Go, or TypeScript
Experience building AI/ML-enabled or autonomous systems
Working knowledge of Git-based workflows, CI/CD, automated testing, and DevSecOps practices
Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code
Strong communication skills and ability to work effectively in small, cross-functional teams
U.S. citizenship and ability to obtain and maintain a Top Secret security clearance