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AI Agent Developer for Field Service Operations Automation

Költségvetés: $550.0 FIXED / ⭐ 5.00 (33) AUS

javascript, api-development, web-programming, python, api, artificial-intelligence, machine-learning, uiux

About the Project We run a growing field service business and currently handle customer requests, technician scheduling, job updates, and follow-ups across email, phone notes, and our CRM. Too much information is being copied manually between systems, which causes delays and missed tasks. We are looking for an experienced AI agent developer to build a production-ready internal agent that can coordinate these workflows and reduce administrative work. What the AI Agent Should Do The agent should be able to: * Read incoming customer requests from email and web forms * Identify the service type, urgency, location, and required technician skills * Create or update records in our CRM through API integrations * Suggest available appointment times based on technician schedules * Draft customer responses for approval * Send reminders and follow-up messages * Escalate unusual or high-risk requests to a human * Maintain a clear activity log for every action taken This is not a basic chatbot project. The system must perform actions through APIs, follow business rules, and handle multi-step workflows reliably. Technical Requirements We are open to your recommended architecture, but the likely stack may include Python, FastAPI, OpenAI or Claude, LangGraph, PostgreSQL, webhooks, and third-party API integrations. The system should be modular, maintainable, and easy to expand with new workflows later. Experience with AI orchestration, structured outputs, error handling, human approval steps, and cloud deployment is important. Phase 1 Deliverables * Technical architecture and workflow design * Working AI agent connected to email, calendar, and CRM * Admin interface for reviewing actions and exceptions * Logging, monitoring, and basic usage-cost tracking * Deployment documentation and source code To Apply Please include: * Examples of similar AI agents or automation systems you have built * Your recommended technology stack * A realistic timeline and cost estimate * Whether you work independently or with a team * How you would prevent the agent from creating incorrect CRM records or scheduling the wrong technician
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