Junior AI Developer

About the Role

As a Junior AI Developer, this position designs, builds, tests, and supports software solutions that use artificial intelligence, automation, and data-driven technologies to improve business processes. This entry-level role works under the guidance of senior technical staff and uses AI-assisted development tools, including GitHub Copilot or Claude, to accelerate coding, troubleshooting, documentation, and testing while maintaining established standards for security, quality, privacy, and source control.

Key Responsibilities

• Develop and maintain entry-level applications, scripts, integrations, and workflow automations using approved programming languages, frameworks, and development standards.
• Use GitHub Copilot, Claude, or comparable approved AI coding assistants proficiently to generate, explain, refactor, test, and document code while independently reviewing all output for correctness, security, and maintainability.
• Assist with building and integrating generative AI solutions, including prompt-based applications, chat interfaces, retrieval-augmented generation workflows, and approved large language model APIs.
• Translate business requirements and user feedback into technical tasks, prototypes, and working software under the direction of senior developers or IT leadership.
• Write clean, modular, well-documented code and follow organizational standards for naming, error handling, logging, configuration, and reusable components.

Requirements & Tech Stack

• Bachelor's degree in computer science, Software Engineering, Information Systems, Data Science, or a related field; equivalent practical experience may be considered.
• Zero to two years of professional software development, internship, academic project, or comparable hands-on experience.
• Demonstrated experience creating working software with Python, JavaScript/TypeScript, C#, or another modern programming language.
• Demonstrated proficiency using GitHub Copilot or Claude for AI-assisted software development, including prompt formulation, code review, debugging, testing, and documentation.
• Working knowledge of software development fundamentals, algorithms, data structures, object-oriented or functional programming, and common design patterns.
• Working knowledge of generative AI concepts, large language models, prompt engineering, embeddings, APIs, and the limitations and risks of AI-generated output.
• Ability to evaluate AI-generated code rather than accepting suggestions without validation, including checking for security vulnerabilities, licensing concerns, hallucinations, and incorrect assumptions.
• Familiarity with REST APIs, JSON, SQL, relational databases, and basic data transformation techniques.
• Familiarity with Git, GitHub, integrated development environments, command-line tools, and modern software testing practices.