I am looking for a highly capable AI automation engineer or agent builder to help create a practical, real-world AI agent system that can support multiple parts of my business and personal workflow. This is not a simple chatbot project. I want someone who understands how to build AI agents that can take action, connect tools, automate workflows, and support areas such as trading assistance, phone handling, website operations, research, and business process automation. I have already been working on setting up local and semi-local AI infrastructure, testing tools like OpenClaw, exploring home-based AI hardware setups, and thinking through how to connect AI into daily operations. I need someone who can take that vision and build the workflows correctly. What I want this AI system to help with: Trading-related workflows and market monitoring Researching setups, news, and market-moving events Assisting with website-related tasks and backend workflows Handling or helping route phone calls and voice-based workflows General business task automation Trigger-based workflows across multiple tools Potential future expansion into CRM, intake, lead handling, and admin support Organizing information, summarizing data, and helping me act faster Important: I am not looking for someone who promises a fully autonomous money-printing bot. I want someone serious, technical, practical, and honest who can build useful AI-assisted systems with strong logic, safeguards, and workflow design. Scope of work may include: Designing the overall AI agent architecture Recommending the best stack for local, cloud, or hybrid deployment Connecting APIs, tools, browser automation, voice tools, dashboards, and workflow systems Building trading-related automations with risk controls and alerts Creating prompt chains, tool-use logic, and fallback handling Setting up workflow orchestration Making the system reliable, scalable, and easy to expand Connecting OpenAI, Claude, browser tools, phone systems, dashboards, Slack, websites, and other business software Helping identify what should be automated versus what should remain human-reviewed Ideal candidate: Strong experience building AI agents and workflow automations Experience with LLM tools, tool-calling, orchestration, and API integrations Familiarity with trading workflow automation, alerts, or market data integrations Comfortable with voice and phone workflow tools Able to work with local machine setups, remote servers, or hybrid systems Strong with Python, APIs, browser automation, webhook logic, and automation platforms Able to think strategically, not just code blindly Good communicator who can explain what is realistic, what is risky, and what should be phased in over time Nice to have: Experience with OpenClaw or similar agent frameworks Experience with trading APIs or broker integrations Experience with Twilio, VOIP, inbound call routing, or AI voice agents Experience building internal business dashboards Experience with secure local AI setups Experience building multi-step operational workflows for real businesses When applying, please answer the following: What similar AI agent or automation systems have you built? Have you built anything related to trading workflows, alerts, market monitoring, or execution assistance? Have you built AI workflows involving phone calls, voice agents, or business operations? What stack would you recommend for this use case, and why? Would you suggest local, cloud, or hybrid deployment? How would you structure this project in phases? Please share examples, screenshots, GitHub links, Loom videos, or case studies if available. Project style: I prefer to start with a clear plan and build a strong core system first, then expand into multiple workflows after the foundation is working. To apply: Start your proposal with: AI workflow builder