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Jr Artificial Intelligence Developer

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Kaseya
Full Time position
Listed on 2026-03-12
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Seeking a hands-on Developer with a focus on automation and AI tools to help streamline workflows and improve productivity across the organization. This role involves designing Python-based scripts, leveraging platforms like Microsoft Copilot and ChatGPT, and collaborating with teams to deliver efficient, scalable automation solutions.

Key Responsibilities
  • Develop and maintain Python scripts to automate workflows, data processes, and routine tasks.
  • Integrate and apply AI tools (Microsoft Copilot, ChatGPT, etc.) to support development, documentation, and internal productivity.
  • Partner with business and technical teams to identify automation opportunities and translate requirements into practical solutions.
  • Troubleshoot, debug, and optimize scripts and automation pipelines.
  • Document code, processes, and provide knowledge transfer to team members.
Required Skills & Experience
  • Strong proficiency in Python with proven experience in scripting and automation.
  • Familiarity with AI/automation tools (e.g., Microsoft Copilot, ChatGPT, or similar).
  • Solid understanding of the Software Development Life Cycle (SDLC) and experience working across multiple phases.
  • Experience writing clean, maintainable code and debugging effectively.
  • Ability to communicate technical solutions clearly to both technical and non-technical stakeholders.
  • Strong organizational skills and attention to detail.
Preferred Qualifications
  • Experience working with APIs, automation platforms (e.g., Zapier, Power Automate), or cloud environments.
  • CI/CD knowledge or hands‑on experience with build and deployment pipelines (e.g., Git Hub Actions, gearset, Jenkins, Git Lab CI).
  • Familiarity with version control systems (Git) and automated testing practices.
  • Exposure to Dev Ops practices, including deployment automation and environment management.
  • Background in IT, operations, or data analysis.
  • Knowledge of prompt engineering or conversational AI workflows.
  • Demonstrated curiosity and enthusiasm for emerging technologies.
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