AI-Native Software Engineer

Innovative Defense Technologies (IDT)

AI-Native Software Engineer developing software in an AI-augmented engineering environment. Working with cross-functional teams to enhance reliability and operational capabilities for military systems.

Posted 7/27/2026full-timeArlington • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $114,000 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating generative AI tools into software engineering workflows, enhancing productivity and software quality through AI-augmented engineering practices. Proficient in developing intelligent data processing and NLP pipelines while ensuring compliance and security in AI implementations.

Highest-signal resume keywords

Generative AI Tool IntegrationAI-Enabled Engineering TechniquesNLP Pipeline DevelopmentAI Model DeploymentPrompt Workflow Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AI Coding ToolsLLM Code GenerationAI Test GenerationDebugging AutomationAI Component IntegrationData ProcessingAI Security PracticesSoftware Development LifecycleAI-Assisted EngineeringAgent-Based Development

Soft Skills

Strong Problem-Solving SkillsEffective CommunicationCross-Functional CollaborationMentoring Engineering TeamsCuriosity and Experimentation

Tools & Technologies

GitHub CopilotCursorCodeiumChatGPTClaudeAI Test GeneratorsAI Developer ToolingAutomated Testing AgentsAI DashboardsAI Interfaces

Industry Keywords

AI-Augmented Engineering StandardsSoftware Quality ImprovementUser Experience EnhancementSecurity and Compliance ConsiderationsProduction Workflow Integration

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Use generative AI tools (LLM copilots, autonomous coding agents, AI test generators) as a core part of daily software engineering workflows
Demonstrate and share AI-enabled engineering techniques that improve team productivity and software quality
Help define and evolve AI-augmented engineering standards, patterns, and best practices
Prototype and evaluate emerging AI developer tooling (agent frameworks, code copilots, automated testing agents)
Mentor engineering teams on effective use of generative AI in development workflows
Integrate AI Components into Complex DoW Software Environments
Integrate AI models and services into mission-critical software systems.
Develop Intelligent Data Processing and NLP Pipelines
Deliver AI‑Enabled Dashboards, Interfaces, and Insights
Help identify areas of the software lifecycle that can be accelerated through generative AI and automation.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time professional experience.
5-7 years of full-time professional experience
Ability to travel up to 10% of the time, as needed
Demonstrated curiosity and experimentation with emerging AI technologies and engineering practices.
Daily use of generative AI coding tools such as GitHub Copilot, Cursor, Codeium, ChatGPT, Claude, or similar systems
Experience using LLMs for code generation, debugging, test generation, and documentation automation
Familiarity with agent-based development workflows and AI-assisted engineering environments
Experience designing prompt workflows or system prompts to improve developer productivity
Ability to critically evaluate AI-generated code for correctness, security, and performance
Strong understanding of AI concepts and practical deployment patterns
Demonstrated ability to scope requirements for engineering solutions that meet business challenges using AI with measurable outcomes
Experience in engineering solutions that integrate AI models into production workflows to improve User Experience and productivity
Understanding of security and compliance considerations when implementing AI solutions, especially in sensitive or classified environments, to support multiple deployment environments
Understanding of secure software development practices and AI-specific security risks as they pertain to a full SDLC
Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently
Strong communication skills — ability to collaborate and explain complex concepts to diverse audiences, and synthesize details into actionable recommendations and implementations
Cross-functional collaboration — builds strong relationships across engineering, security, compliance, etc.

Benefits

Comp & perks

Generous benefits package
Competitive PTO
Paid holidays
401(k) with immediate vesting and matching
9/80 optional schedule (2nd and 4th Friday off every month)
Tuition Assistance Reimbursement Program
Professional Development Resources
Pre-Tax Commuter Benefits
Organization-Wide Monthly Tech Connect Events
Annual Employee Recognition Awards
Regular Social Events and Catered Lunches