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# Artificial Intelligence (AI) Engineer I

- **Company:** CYNET SYSTEMS INC.
- **Location:** Wilmington, NC, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Microsoft Power Automate, Large Language Models, Prompt Engineering, Zapier, AI Platforms, Information Technology, Extreme Programming
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/jobad/usf77b4b79abbe3c6a2cbe75697b2592ea

## About the Role

Requirement/Must Have:

 * Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
 * At least 1 year of experience in data science, analytics, automation, or AI related work., * Basic understanding of AI/ML concepts, including large language models and prompt engineering.
 * Foundational ability to read and write Python for prototypes, automation, or simple integrations.
 * Understanding of APIs and how to connect scripts or tools to external services.
 * Strong communication skills, especially when explaining technical topics to non technical audiences.
 * Exposure to workflow automation tools (Power Automate, Logic Apps, Zapier).
 * Exposure to RAG concepts or vector databases.
 * Awareness of Agile, Lean, or XP delivery methodologies.
 * Ability to identify high value AI use cases and support ideation and scoping.
 * Coursework, internships, or hands on experience in data science, analytics, automation, or AI.

## Description

* Partner with product managers and developers to support AI solution delivery across the product lifecycle.
 * Help define, document, and communicate clear business and technical requirements.
 * Support the implementation of AI use cases using approved enterprise AI tools.
 * Contribute to the coordinated execution of AI initiatives across engineering teams.
 * Create, test, and refine prompts for generative AI applications.
 * Participate in prompt tuning and experimentation to improve model outputs.
 * Assist with integrating AI services and models into applications and workflows using APIs.
 * Build small prototypes, scripts, or workflow automations using Python.
 * Explain technical concepts in a clear, practical way for non technical stakeholders.
 * Support training, demos, and coaching to help teams adopt AI tools effectively.
 * Identify opportunities where AI can streamline work, reduce effort, or improve outcomes.


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