Company Overview nuumx.ai is a forward-thinking technology company helping businesses streamline operations through intelligent automation and AI-powered workflows. We specialize in creating seamless integrations between various business systems, automating repetitive tasks, and leveraging AI to enhance productivity across organizations. Join our growing team to help shape the future of business process automation and AI integration. Position Summary We are seeking an enthusiastic Entry-Level AI Workflow Automation Engineer to design, build, and maintain automated workflows that integrate AI capabilities with business processes. You will work with cutting-edge no-code/low-code automation platforms to create intelligent workflows that connect various applications, automate data processing, and implement AI-driven decision-making processes. This role is perfect for someone passionate about automation technology and eager to learn how AI can transform business operations. Key Responsibilities Workflow Design & Development Design and build automated workflows using platforms like n8n, Zapier, Make.com (Integromat), and Gumloop Create intelligent automation sequences that integrate AI services (OpenAI, Anthropic, Google AI) with business applications Develop multi-step workflows that combine data processing, API integrations, and AI-powered analysis Build conditional logic and decision trees within automation platforms to handle complex business scenarios Create reusable workflow templates and components for common automation patterns Document workflow designs, logic flows, and integration requirements AI Integration & Implementation Integrate various AI APIs and services into automated workflows (ChatGPT, Claude, Google Gemini, etc.) Implement natural language processing workflows for document analysis, content generation, and text classification Build AI-powered data enrichment and validation processes Create intelligent content workflows including automated writing, summarization, and translation Develop AI-driven decision-making processes within business workflows Configure prompt engineering and AI model parameters for optimal workflow performance Platform Management & Optimization Monitor and maintain automated workflows to ensure reliable performance and uptime Troubleshoot workflow failures and implement error handling mechanisms Optimize workflow performance including execution time, resource usage, and cost efficiency Manage workflow versions, rollbacks, and deployment processes across different environments Implement workflow testing procedures and quality assurance processes Create monitoring dashboards and alerting systems for critical automation processes System Integration & Connectivity Connect various business applications and services through APIs and webhooks Build integrations with CRM systems (Salesforce, HubSpot), productivity tools (Slack, Microsoft Teams), and databases Implement data transformation and mapping between different systems and formats Create secure authentication and authorization flows for third-party integrations Develop custom connectors and API endpoints when pre-built integrations are unavailable Ensure data consistency and synchronization across multiple connected systems Client Support & Collaboration Work with internal teams and clients to understand automation requirements and business processes Provide technical support and troubleshooting assistance for deployed automation workflows Create user documentation and training materials for automated processes Conduct workflow demonstrations and training sessions for end users Gather feedback on automation performance and implement improvements based on user needs Collaborate with sales and customer success teams to identify new automation opportunities Required Qualifications Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, or related field OR equivalent experience through bootcamps, certifications, or demonstrated hands-on automation projects 0-2 years of experience in workflow automation, business process automation, or related fields Portfolio or examples of automation workflows created using no-code/low-code platforms Technical Skills Automation Platforms: Hands-on experience with at least 2-3 platforms (n8n, Zapier, Make.com, Gumloop, Power Automate) API Integration: Basic understanding of REST APIs, webhooks, and API authentication methods AI Services: Familiarity with AI API platforms (OpenAI, Anthropic Claude, Google AI, Azure Cognitive Services) Data Formats: Knowledge of JSON, XML, CSV, and data transformation techniques Basic Programming: Understanding of JavaScript, Python, or similar scripting languages for custom logic Database Knowledge: Basic SQL skills and understanding of database connections and queries Platform-Specific Experience n8n: Experience building workflows with custom nodes, expressions, and self-hosted deployments Zapier: Proficiency in creating Zaps, filters, formatters, and advanced multi-step workflows Make.com (Integromat): Knowledge of scenario building, routers, iterators, and error handling Gumloop: Experience with AI-powered workflow creation and loop-based automation processes Additional Tools: Familiarity with Bubble, Airtable, Notion, or other no-code platforms is a plus AI & Automation Knowledge Understanding of AI capabilities and limitations for business process automation Knowledge of prompt engineering techniques for AI integration in workflows Familiarity with natural language processing concepts and applications Basic understanding of machine learning workflows and data processing pipelines Knowledge of AI ethics and responsible automation practices Soft Skills Strong analytical and problem-solving abilities with attention to detail Excellent communication skills for explaining technical concepts to non-technical users Ability to work independently and manage multiple automation projects simultaneously Customer service mindset with focus on user experience and satisfaction Adaptability and eagerness to learn new automation tools and AI technologies Creative thinking for identifying automation opportunities and innovative solutions Preferred Qualifications Certifications: Zapier Expert Certification, Make.com Partner Certification, or similar platform certifications Programming Experience: Intermediate JavaScript, Python, or Node.js skills for custom automation logic Cloud Platforms: Experience with AWS, Google Cloud, or Azure services for automation infrastructure Business Process Knowledge: Understanding of common business workflows (sales, marketing, customer service, operations) Integration Experience: Previous work with CRM, ERP, or enterprise software integrations AI Model Training: Basic experience with fine-tuning or training custom AI models Tools & Technologies You'll Work With Automation Platforms n8n: Self-hosted workflow automation with custom nodes and expressions Zapier: Cloud-based automation platform with extensive app integrations Make.com: Visual workflow builder with advanced routing and data processing Gumloop: AI-native automation platform for intelligent workflow creation Microsoft Power Automate: Enterprise workflow automation within Microsoft ecosystem AI & Language Models OpenAI APIs: GPT models for text generation, analysis, and conversation Anthropic Claude: AI assistant integration for complex reasoning tasks Google AI Platform: Gemini and other Google AI services integration Azure Cognitive Services: Microsoft AI services for various automation tasks Hugging Face: Open-source AI models and transformers for specialized tasks Business Applications CRM Systems: Salesforce, HubSpot, Pipedrive, Zoho CRM Communication Tools: Slack, Microsoft Teams, Discord, Telegram Productivity Suites: Google Workspace, Microsoft 365, Notion, Airtable E-commerce Platforms: Shopify, WooCommerce, Magento Marketing Tools: Mailchimp, SendGrid, Buffer, Hootsuite Development & Monitoring API Testing: Postman, Insomnia for API testing and documentation Version Control: Git for workflow version management Monitoring Tools: Uptime monitoring, error tracking, and performance analytics Documentation: Confluence, Notion, GitBook for workflow documentation
