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Artificial Intelligence; AI Engineer

Job in Wilmington, New Hanover County, North Carolina, 28403, USA
Listing for: Cynet Systems
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer, AI Business & Operations
Job Description & How to Apply Below
Position: Artificial Intelligence (AI) Engineer I

Job Title

Job Overview

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.

Responsibilities:

  • 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.

Nice to Have:

  • 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.
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