AI Developer

SKILLS, KNOWLEDGE AND EXPERTISE

• Hands-on experience building AI agents, AI-powered workflows, or AI automation tools.
• Strong practical experience with ChatGPT and/or Claude beyond basic conversational use.
• Experience designing prompts, AI workflows, custom GPTs, Claude Projects/workflows, or similar AI applications.
• Experience using LLMs/APIs to build practical business solutions.
• Strong programming or scripting skills, with the ability to build lightweight applications and integrations.
• Experience working with REST APIs, authentication, JSON, webhooks, or data integrations.
• Experience integrating AI solutions with CRMs or other business systems is highly valuable.
• Familiarity with Insellerate or similar CRM platforms is a plus.
• Understanding of data privacy, access control, PII/NPI handling, and secure API integrations.
• Strong problem-solving skills and the ability to translate business problems into practical technical solutions.
• Comfortable working collaboratively with non-technical stakeholders and iterating quickly based on feedback.
• Strong documentation and communication skills.

RESPONSIBILITIES

AI Agent & Workflow Development

• Work with stakeholders to identify repetitive, time-consuming, and high-impact tasks that can be improved or automated with AI.
• Design and implement ChatGPT and Claude workflows, including prompts, custom GPTs, Projects, and Claude-based workflows.
• Build purpose-built AI Agents that can perform specific, repeatable tasks from start to finish.
• Determine when a problem can be solved through an AI workflow versus when custom development is required.
• Continuously test, refine, and improve AI agents based on real-world usage and stakeholder feedback.
• Build solutions that are practical, maintainable, and focused on measurable business impact.

Internal Tools & AI-Assisted Development

• Rapidly develop lightweight internal tools, scripts, dashboards, and utilities using AI-assisted development techniques.
• Prototype and iterate quickly with stakeholders rather than relying on lengthy development cycles.
• Connect AI agents and workflows to relevant business systems and data sources.
• Build tools that surface useful information through dashboards, automated reports, scheduled notifications, or direct agent responses.

CRM Integration

• Integrate AI solutions with Insellerate CRM when CRM data is required to support an AI use case.
• Develop services for scheduled and on-demand data retrieval, including pagination, retries, rate-limit handling, and logging.
• Normalize CRM data into structured schemas that can be consumed by AI agents and ChatGPT/Claude workflows.
• Work with API authentication, credentials, endpoint permissions, and scoped access.
• Monitor API changes, versioning, and deprecations that may affect existing integrations.

Security, Data & Reliability

• Ensure appropriate handling of PII/NPI and other sensitive business information before data is sent to AI platforms or external services.
• Implement appropriate encryption, data retention, redaction, and access-control practices.
• Apply role-based permissions to AI agents, workflows, and CRM queries.
• Validate AI-generated outputs against Insellerate or other designated systems of record before they are relied upon for business decisions.
• Test for common failure scenarios, including stale data, empty results, permission errors, API failures, and unexpected AI outputs.
• Implement logging and monitoring so failed integrations, broken agents, and credential issues are identified quickly.

Documentation & Continuous Improvement

• Document AI agent configurations, prompts, workflows, integrations, credential scopes, and data flows.
• Maintain reusable prompt and workflow libraries.
• Document system setup and technical requirements for future developers.
• Maintain awareness of changes to APIs, AI platforms, and integrated systems.
• Participate in recurring working sessions with stakeholders to review adoption, performance, new opportunities, and upcoming builds.
• Continuously improve existing solutions based on usage, feedback, and changing business requirements.