Senior AI Developer working with "Agent Builder" (CW) with strong AI focus \- Hybrid 3 days or Remote

Simple Solutions•Dallas, TX

24d•Hybrid

About The Position

The Senior AI Developer (also described as Senior Agent Builder) designs, develops, deploys, and maintains intelligent AI agents and automated workflows to solve business problems, streamline operations, and improve user experiences. The role uses low-code/no-code platforms to build conversational AI agents, chatbots, and virtual assistants, as well as workflow automations that connect applications and services. The position involves gathering and translating stakeholder needs into technical solutions, designing conversation flows and automation logic, integrating agents with APIs and business systems, and testing and optimizing solutions. The role also monitors deployed agents, maintains documentation and version control, trains and supports users, and ensures implementations meet data security and privacy requirements. The role is described as a six-month contract that may convert to a contract-to-hire position. The posting gives a hybrid preference in Coppell, Texas, with remote work possibly accepted. The position may require occasional adjusted schedules, overtime, and evening or weekend work to meet deadlines or business needs.

Requirements

Two to five or more 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.
Background in business analysis, process improvement, or software development.
Proficiency with low-code/no-code platforms, such as Bubble, Webflow, OutSystems, or 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.
Knowledge of process mapping and workflow optimization.
Requirements analysis and documentation skills.
Data analysis and interpretation skills.
Problem-solving and critical-thinking skills.
Understanding of business operations and common pain points.
Clear communication with technical and non-technical stakeholders.
Adaptability to new platforms and technologies.
Regular and punctual attendance according to the schedule established by leadership.
Ability to communicate effectively verbally in English and accurately exchange information.

Nice To Haves

Certifications in relevant platforms, such as Salesforce or Microsoft Power Platform.
Experience with prompt engineering and LLM integration.
Familiarity with Agile methodologies.
Experience with ConnectWise Agent Builder, as highlighted in the posting.

Responsibilities

Design, develop, and deploy conversational AI agents, chatbots, and virtual assistants using platforms such as Voiceflow, Botpress, Microsoft Power Virtual Agents, or similar tools.
Design conversation flows, decision trees, and logic pathways for effective user interactions.
Configure integrations with APIs, databases, CRM systems, and third-party applications.
Test and iterate on agent performance using user feedback and analytics.
Create automated workflows using tools such as Zapier, Make (Integromat), Power Automate, or n8n.
Connect applications and services to reduce manual tasks and data entry.
Design trigger-based automations responding to business events and conditions.
Monitor workflow execution and troubleshoot failures or bottlenecks.
Work with stakeholders to understand business needs and pain points.
Translate business requirements into technical specifications for low-code implementation.
Evaluate processes for suitability for automation or agent-based solutions.
Create flow diagrams, user guides, and technical specifications.
Test agents and workflows across scenarios and edge cases, and conduct user acceptance testing with stakeholders.
Debug issues and optimize agent responses for accuracy and user satisfaction.
Ensure data security and privacy compliance in implementations.
Monitor agent 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 deployments.
Train team members to use and maintain deployed agents.
Create user documentation and knowledge base articles, provide ongoing support, and share best practices across the organization.