AI Automation Engineer

Company Description Zynvex Solutions is a global technology company and professional software development community focused on innovation, collaboration, and digital transformation. The organization brings together developers, engineers, and technology professionals worldwide to design impactful solutions and help businesses grow in an evolving digital landscape. Zynvex specializes in advanced IT services and next-generation digital products, emphasizing quality, scalability, security, and excellence. Through a collaborative ecosystem, the company promotes knowledge sharing, mentorship, and career development for both experienced professionals and aspiring graduates. Team members join a forward-thinking environment that stays at the forefront of emerging technologies while supporting continuous learning and professional growth.
Role Description This is a full-time remote role for an AI Automation Engineer at Zynvex Solutions. The AI Automation Engineer will design, build, and maintain automation solutions that integrate AI-driven tools, robotics, and control systems to optimize business processes and digital products. Day-to-day responsibilities include analyzing workflows, developing automation scripts, configuring control systems, and collaborating with cross-functional teams to deploy robust, scalable solutions. The role involves troubleshooting automation issues, monitoring system performance, and implementing improvements to enhance reliability, security, and efficiency. The engineer will also document technical designs, contribute to best practices, and support ongoing innovation in AI and automation across multiple projects and industries.
Qualifications
Candidates should possess strong skills in Automation, Robotics, and AI-driven system integration.
Candidates should possess practical experience in Process Control and control system configuration.
Candidates should possess a solid foundation in Electrical Engineering and related technical disciplines.
Candidates should possess advanced Troubleshooting abilities for diagnosing and resolving complex automation issues.
Candidates should possess proficiency with modern programming or scripting languages (e.g., Python, C++, or similar) and familiarity with machine learning frameworks is beneficial.
Candidates should possess strong analytical, problem-solving, and communication skills, with the ability to work effectively in remote, cross-functional teams.
Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience; prior experience in industrial automation or AI systems is an advantage.

Work arrangement
Yes