AI-Augmented Software Developer Intern

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.

* Working knowledge of a programming language (such as C#, Python, JavaScript, or Type Script) and version control with Git, including collaborative workflows such as pull requests and code reviews.

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.

* Exposure to a modern development stack such as C#, .NET, JavaScript or Type Script, React, Python, or SQL databases including Postgre

SQL or SQL Server.

* 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 version control (Git), web technologies, and relational databases.

* Comfort working across Windows development environments and Microsoft 365 tooling.

* AI Literacy: A working understanding of how large language models behave, their strengths and limitations, and the ability to critically evaluate AI-generated code rather than accept it at face value.

* Problem-Solving

Skills:

Ability to break down complex problems, reason through solutions independently, and use AI tools effectively as part of the problem-solving process.

* Communication

Skills:

Strong written and verbal communication skills, with the ability to clearly explain technical concepts and AI-assisted decisions to both…