AI -Agent Builder

Relevance Lab; Coppell (TX); Sur place; USD 80 000 - 120 000; Plein temps

Résumé du poste

Relevance Lab invites applications for an Agent Builder to design, develop, and deploy intelligent AI agents that automate complex workflows. You will craft conversational agents and automated processes using low-code/no-code platforms to address business problems, streamline operations, and improve user experiences without heavy programming.

The role emphasizes building integrations with APIs and databases, testing thoroughly, and maintaining documentation.

Qualifications

• 2+ years of experience building solutions on low-code/no-code platforms.
• Demonstrated experience creating AI agents, chatbots, or automated workflows.
• Strong understanding of user experience and conversation design.
• Ability to work independently and manage multiple projects.

Responsabilités

• Agent Design and Development: Build AI agents and chatbots using low-code tools.
• Design agent conversation flows, decision trees, and logic paths for effective UX.
• Configure agent integrations with APIs, databases, CRM systems, and third-party apps.
• Test and iteratively improve agent performance based on analytics and feedback.
• Workflow Automation: Create automated workflows with Zapier, Power Automate, or similar.
• Monitor and troubleshoot workflow executions and performance.

Connaissances

Low-code platforms

AI agent development

Conversation design

Workflow automation

API integrations

Formation

No specific degree required

Outils

Bubble

Webflow

OutSystems

Mendix

Description du poste

Position Summary

The Agent Builder is responsible for designing, developing, and deploying intelligent AI agents that automate complex workflows and enhance organizational capabilities. Design, develop, and deploy AI agents and automated workflows using low-code/no-code platforms to solve business problems, streamline operations, and enhance user experiences without traditional programming.

Description

Essential Functions, Duties, and Responsibilities

Describe what the role will be directly responsible for. Examples below.

• Agent Design and Development
• Build conversational AI agents, chatbots, and virtual assistants using platforms like Voice flow, Bot press, Microsoft Power Virtual Agents, or similar tools
• Design agent conversation flows, decision trees, and logic pathways to handle user interactions effectively
• Configure agent integrations with APIs, databases, CRM systems, and third-party applications
• Test and iterate on agent performance based on user feedback and analytics
• Workflow Automation
• Create automated workflows using tools like Zapier, make (Integromat), Power Automate, or n8n
• Connect multiple applications and services to eliminate manual tasks and data entry
• Design trigger-based automations that respond to business events and conditions
• Monitor workflow execution and troubleshoot failures or bottlenecks
• Requirements Gathering & Solution Design
• Collaborate with stakeholders to understand business needs and pain points
• Translate business requirements into technical specifications for low-code implementation
• Evaluate which processes are suitable for automation or agent-based solutions
• Create documentation including flow diagrams, user guides, and technical specifications
• Testing & Quality Assurance
• Conduct thorough testing of agents and workflows across various scenarios and edge cases
• Perform user acceptance testing with stakeholders
• Debug issues and optimize agent responses for accuracy and user satisfaction
• Ensure data security and privacy compliance in all implementations
• Maintenance & Optimization
• Monitor agent performance metrics including response accuracy, completion rates, and user satisfaction
• Analyze usage patterns and conversation logs to identify improvement opportunities
• Update agents with new capabilities, improved responses, and expanded functionality
• Maintain version control and documentation for all deployments
• Training & Support
• Provide training to team members on using and maintaining deployed agents
• Create user documentation and knowledge base articles
• Offer ongoing support for agent-related issues and questions
• Share best practices and lessons learned across the organization

AGENT BUILDER

Position Summary

The Agent Builder is responsible for designing, developing, and deploying intelligent AI agents that automate complex workflows and enhance organizational capabilities. Design, develop, and deploy AI agents and automated workflows using low-code/no-code platforms to solve business problems, streamline operations, and enhance user experiences without traditional programming.

Description

Essential Functions, Duties, and Responsibilities

Describe what the role will be directly responsible for. Examples below.

• Agent Design and Development
• Build conversational AI agents, chatbots, and virtual assistants using platforms like Voice flow, Bot press, Microsoft Power Virtual Agents, or similar tools
• Design agent conversation flows, decision trees, and logic pathways to handle user interactions effectively
• Configure agent integrations with APIs, databases, CRM systems, and third-party applications
• Test and iterate on agent performance based on user feedback and analytics
• Workflow Automation
• Create automated workflows using tools like Zapier, make (Integromat), Power Automate, or n8n
• Connect multiple applications and services to eliminate manual tasks and data entry
• Design trigger-based automations that respond to business events and conditions
• Monitor workflow execution and troubleshoot failures or bottlenecks
• Requirements Gathering & Solution Design
• Collaborate with stakeholders to understand business needs and pain points
• Translate business requirements into technical specifications for low-code implementation
• Evaluate which processes are suitable for automation or agent-based solutions
• Create documentation including flow diagrams, user guides, and technical specifications
• Testing & Quality Assurance
• Conduct thorough testing of agents and workflows across various scenarios and edge cases
• Perform user acceptance testing with stakeholders
• Debug issues and optimize agent responses for accuracy and user satisfaction
• Ensure data security and privacy compliance in all implementations
• Maintenance & Optimization
• Monitor agent performance metrics including response accuracy, completion rates, and user satisfaction
• Analyze usage patterns and conversation logs to identify improvement opportunities
• Update agents with new capabilities, improved responses, and expanded functionality
• Maintain version control and documentation for all deployments
• Training & Support
• Provide training to team members on using and maintaining deployed agents
• Create user documentation and knowledge base articles
• Offer ongoing support for agent-related issues and questions
• Share best practices and lessons learned across the organization

Qualifications And Education Requirements

• 2+ years of experience building solutions on low-code/no-code platforms
• Demonstrated experience creating AI agents, chatbots, or automated workflows
• Strong understanding of user experience and conversation design
• Strong understanding of user experience and conversation design
• Ability to work independently and manage multiple projects
• Background in business analysis, process improvement, or software development
• Certifications in relevant platforms (e.g., Salesforce, Microsoft Power Platform)
• Experience with prompt engineering and LLM integration
• Familiarity with Agile methodologies

Skills, Abilities, And Knowledge

• Proficiency with low-code/no-code platforms (e.g., Bubble, Webflow, OutSystems, Mendix)
• Experience with AI agent builders and chatbot platforms
• Understanding of API integrations and webhooks
• Familiarity with data structures, databases, and basic logic operations
• Knowledge of natural language processing concepts
• Process mapping and workflow optimization
• Requirements analysis and documentation
• Data analysis and interpretation
• Problem-solving and critical thinking
• Understanding of business operations and common pain points
• Clear communication with both technical and non-technical stakeholders
• Adaptability to new platforms and technologies
• Success Metrics: Number of agents deployed and maintained, Reduction in manual processing time through automation, User satisfaction scores for deployed agents, Agent accuracy and task completion rates

Work Environment and Physical Requirements

• Working on-site at assigned office location.
• Regular and punctual attendance adhering to schedule established by leadership.
• Flexibility to work occasionally adjusted work schedules, overtime, and evening and/or weekend hours to meet deadlines or as business needs demand.
• Working in a cubicle hub, maintaining focus on phone calls in a noisy environment within earshot of multiple other conversations.
• Sedentary work in a stationary position at a cubicle for prolonged periods of time.
• Constant repetitive motions required for operating a computer, such as typing and managing phone calls.
• Constantly communicating effectively verbally in English, including accurately exchanging information with others following identification of correct procedures.