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NightOwl Convenience

AI Developer

Posted Updated 1 view
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Salary: ₱90,000 – ₱110,000 per month

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.


Skills

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