AI Automation & Agent Engineer (Remote)
NMS Philippines
Date: 1 week ago
City: Remote
Contract type: Full time
Remote
About The Role
We are looking for a skilled AI Automation & Agent Engineer with hands-on experience in workflow automation platforms such as n8n. The role involves designing, developing, and implementing AI-driven automation solutions and intelligent agents for our clients in the Philippines. You will collaborate closely with cross-functional teams to build, customize, and deploy AI agents, automate complex workflows, and ensure seamless solution integration that drives measurable client value.
Key Responsibilities
AI Agent Development: Design, develop, and deploy intelligent agents for various business processes and client-specific use cases.
Workflow Automation: Build, manage, and optimize automation workflows using platforms like n8n to streamline business operations.
Customization & Integration: Integrate third-party APIs, AI services, and automation tools into client systems.
Technical Research: Continuously explore new AI frameworks, libraries, and workflow automation technologies to drive innovation. Testing & Optimization: Conduct thorough testing, troubleshoot performance issues, and refine automation solutions for maximum efficiency.
Collaboration: Work closely with product managers, project managers, and client stakeholders to ensure solutions align with business needs.
Qualifications & Skills
Bachelor’s degree in Computer Science, Engineering, or related field. Proven experience in n8n AI development, automation engineering, or software integration projects.
Hands-on experience with workflow automation platforms, especially in designing and deploying complex workflows
Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch), APIs, and automation tools
Proficiency in programming languages such as Python, JavaScript, or similar
Experience integrating AI agents with third-party applications and enterprise systems.
Excellent problem-solving skills, attention to detail, and the ability to work independently. Familiarity with cloud environments (AWS, Azure, or GCP) is a plus
We are looking for a skilled AI Automation & Agent Engineer with hands-on experience in workflow automation platforms such as n8n. The role involves designing, developing, and implementing AI-driven automation solutions and intelligent agents for our clients in the Philippines. You will collaborate closely with cross-functional teams to build, customize, and deploy AI agents, automate complex workflows, and ensure seamless solution integration that drives measurable client value.
Key Responsibilities
AI Agent Development: Design, develop, and deploy intelligent agents for various business processes and client-specific use cases.
Workflow Automation: Build, manage, and optimize automation workflows using platforms like n8n to streamline business operations.
Customization & Integration: Integrate third-party APIs, AI services, and automation tools into client systems.
Technical Research: Continuously explore new AI frameworks, libraries, and workflow automation technologies to drive innovation. Testing & Optimization: Conduct thorough testing, troubleshoot performance issues, and refine automation solutions for maximum efficiency.
Collaboration: Work closely with product managers, project managers, and client stakeholders to ensure solutions align with business needs.
Qualifications & Skills
Bachelor’s degree in Computer Science, Engineering, or related field. Proven experience in n8n AI development, automation engineering, or software integration projects.
Hands-on experience with workflow automation platforms, especially in designing and deploying complex workflows
Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch), APIs, and automation tools
Proficiency in programming languages such as Python, JavaScript, or similar
Experience integrating AI agents with third-party applications and enterprise systems.
Excellent problem-solving skills, attention to detail, and the ability to work independently. Familiarity with cloud environments (AWS, Azure, or GCP) is a plus
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