AI Enablement & Automation Specialist
New
B
Berry Virtual | MedVirtual | AI VirtualAI automation
Workable locations: Philippines. India. Honduras. Colombia. Mexico. BrazilFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonJavascriptRESTful APIsJSON
Requirements
- Demonstrated hands-on experience building and deploying software automations, system integrations, or AI-assisted business solutions.
- Strong understanding of REST APIs, webhooks, JSON, authentication, and application integrations.
- Practical experience with automation platforms such as n8n, Make, Zapier, Power Automate, or similar tools.
- Ability to write, modify, and troubleshoot code using Python, JavaScript, TypeScript, or comparable programming languages.
- Working knowledge of databases, data structures, and information exchange between systems.
- Experience integrating LLM APIs or AI platforms into functional business solutions beyond basic end-user AI usage.
- Experience testing, troubleshooting, monitoring, and maintaining production automation workflows.
- Understanding of error handling, logging, retry mechanisms, and data validation.
- Ability to analyze business processes and translate operational challenges into technical solutions.
- Ability to collaborate with technical and nontechnical stakeholders, work independently, manage priorities, and take ownership from development through deployment.
- Ability to provide training and support to employees adopting new automation tools.
- Stable, high-speed internet connection, preferably 25 Mbps or higher, with backup connectivity when possible.
- Own PC or laptop with at least 8 GB RAM and an Intel Core i5, AMD Ryzen 3, or equivalent processor; updated operating system, browsers, and security software.
- Headset or earphones with noise cancellation, a webcam with at least 720p resolution, and a dedicated, quiet, professional remote-work space.
Responsibilities
- Collaborate with department leaders and employees to identify workflow inefficiencies, repetitive tasks, and operational bottlenecks.
- Design, develop, deploy, and maintain AI-assisted workflows, business automations, integrations, and internal applications.
- Integrate business systems using APIs, webhooks, databases, and automation platforms.
- Develop or modify custom code when automation platforms or native connectors cannot meet business requirements.
- Implement practical AI solutions using LLMs and other AI platforms.
- Support secure integration of company knowledge with AI systems while maintaining flexibility across AI providers.
- Build monitoring solutions and operational alerts to identify errors, exceptions, and process inefficiencies.
- Test, troubleshoot, and maintain production automations, including error handling, logging, retries, and data validation.
- Provide employee training, technical documentation, and ongoing support to encourage successful adoption.
- Measure automation performance, evaluate business impact, and continuously optimize implemented solutions.
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