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# AI Developer

- **Company:** Atlas Sand
- **Location:** Austin, TX, United States
- **Contract:** Internship / Graduate position
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Audit Trail, Microsoft Azure, Microsoft Basic Data Partition, Microsoft Online Services, C Sharp (Programming Language), Collaborative Software, Computer Programming, DevOps, Github, JSON, Python (Programming Language), Microsoft Office, Regression Testing, Microsoft SharePoint, Strategies of Testing, Web Application Frameworks, Data Processing, ReactJS, Large Language Models, Microsoft Copilot Studio, Restful APIs, Serverless Computing, Web Api
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/48e1594d-090c-4074-ace2-c27fff47a1c7/ai-developer

## About the Role

* Bachelor's degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training.
 * Programming: Foundational proficiency in one general purpose programming language (e.g. Python or C#) and one front end framework (e.g. React/JavaScript)
 * Comfort with REST APIs, JSON, DBs and basic data structures
 * Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship
 * AI/ML/LLM concepts or project experience
 * Eligible to work in the U.S. without future sponsorship.
 * Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies).

Preferred qualifications

 * Experience building LLM-powered applications and automations
 * Exposure to cloud platforms and DevOps practices (Azure Functions, CI/CD pipelines, Git/GitHub, containers).
 * Familiarity with Microsoft tools such as Power Platform, Copilot Studio, Microsoft Foundry, Graph APIs and collaboration platforms (e.g., Teams and SharePoint)
 * Completion of relevant AI-focused certifications and/or accredited boot camps.

## Description

* AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision.
 * Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources.
 * Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance.
 * Apply authentication patterns, data protection controls, and audit logging.
 * Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed.
 * Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback.