More jobs:
Jr Artificial Intelligence Developer
Job in
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2026-03-12
Listing for:
Kaseya
Full Time
position Listed on 2026-03-12
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Data Engineer, Data Analyst
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.
- 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.
- 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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