| Location | Coppell, TX |
| Salary | $70–$72 |
Job Title: Agent Builder (CW)
Location: TX - Coppell - 3401 Olympus Boulevard 300 -Hybrid 3 days(Local to Coppell Only)
Duration: 12+ Months
Interview: In-person interview
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.