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AI-Augmented Software Developer Intern

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Citadel Completions
Apprenticeship/Internship position
Listed on 2026-05-07
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

AI-Augmented Software Developer Intern

Technical Dallas, TX, US

15 days ago Requisition

Purpose:

Join Citadel Aviation’s IT development team as an AI-Augmented Software Developer Intern and help shape how modern aviation MRO software gets built. This internship puts you at the intersection of software engineering and AI-augmented development, where agentic CLI-based AI coding tools (such as Claude Code, Codex, Gemini CLI, or equivalent) are a core part of the daily workflow. You’ll contribute to full-stack application development, data integration work, and internal tooling that supports a growing multi-site aviation business.

You’ll develop real skills in prompt engineering, AI-assisted code review, and critically evaluating AI-generated code against real business requirements. By the end of your internship, you will have shipped working features, presented your projects to leadership, and developed a practical understanding of what it means to build software in an AI-augmented development organization.

Essential Job Functions:

  • AI-Augmented Development:
    Use agentic CLI-based AI coding tools (such as Claude Code, Codex, Gemini CLI, or equivalent) as a daily part of the development workflow to design, build, and test application features.
  • Full-Stack Application Development:
    Contribute to ongoing development across internal applications, including building user-facing features, working with data models and APIs, and supporting integrations between business systems.
  • Prompt Engineering and AI Workflow Design:
    Learn to craft effective prompts, structure AI agent workflows, and build reusable patterns that make a development team more productive. Experiment with agentic coding tools and help document what works and what does not.
  • Collaborative Development:
    Work alongside the development team on planning, building, reviewing, and shipping features, with AI tools integrated into day-to-day development practice.
  • AI-Augmented Quality Assurance:
    Use AI assistants to help generate test cases, identify edge cases, and perform code review. Critically evaluate AI-generated output to ensure applications meet quality and correctness standards before release.
  • Documentation and Knowledge Capture:
    Use AI tools to help produce clear, consistent documentation for code, modules, database changes, and developer-facing guides. Maintain context files and internal reference material so AI tools across the team can operate effectively on the codebase.
  • Presentation and Demonstration:
    Prepare and present project updates and final deliverables to the IT team and executive leadership, including a demonstration of how AI tools were leveraged throughout the internship.



Minimum Qualifications or

Experience:

  • Actively pursuing a bachelor’s degree in Information Technology, Computer Science, Software Engineering, or a related field.
  • High school diploma or equivalent.
  • Proficient in oral and written English, with the ability to communicate technical concepts clearly.


Preferred Qualifications or

Experience:

  • Demonstrated ability to build real applications using agentic CLI-based AI coding tools such as Claude Code, Codex, Gemini CLI, or equivalent.
  • Personal projects, a Git Hub portfolio, open-source contributions, or coursework that demonstrates practical software development skills.
  • Familiarity with prompt engineering concepts, agentic coding workflows, or MCP (Model Context Protocol) tooling.
  • Awareness of how AI-built applications are integrated into enterprise networks, including authentication (SSO, OAuth), API security, data handling, and deployment considerations.
Supervisory Responsibilities:
  • This position has no supervisory responsibilities.
Knowledge, Skills, and Other Attributes:
  • Educational Background:
    Currently enrolled in a Computer Science, Information Technology, Software Engineering, or related program, preferably at a junior or senior college level.
  • Technical Foundations:
    • Working knowledge of at least one programming language such as C#, Python, JavaScript, or Type Script.
    • Familiarity with…
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