Expert AI Automation & Voice Agent Engineer

@huzaifa306

I have more than 3 years of experience building AI voice agents, automation workflows, APIs, webhooks, and CRM integrations. I have built voice agents for service businesses including HVAC and plumbing. I can build and test your HVAC voice agent, connect the required systems, handle booking and follow ups, and join client calls to explain and troubleshoot the technical side professionally. I am available for the 15 hour project at $15 per hour.

@extreamcode

Hi ClientFirstName, I can see the real challenge here isn’t just building a voice agent , it’s making the AI feel calm, reliable, and smart enough to handle live business calls without turning into a robot with commitment issues. I’ve built PHP, API, automation, and CRM-connected systems, and I’m comfortable with VAPI, n8n, webhooks, Google Calendar, and GoHighLevel-style workflows to make the whole flow actually work in production. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. I can help design the HVAC receptionist flow, call handling logic, escalation rules, booking sync, and post-call automation so it’s solid from first test call to client demo. A few quick details will help me scope it properly: which CRM or scheduling stack should the agent update, how should urgent HVAC calls be escalated, and do you want the first version optimized for bookings only or for qualification plus booking? Looking forward to your reply so we can finalize the exact plan. Best regards, Asad

@melopgabriel

Hi, this HVAC receptionist project is a strong fit for a production-ready voice agent that handles real calls, qualifies the issue, and books appointments cleanly. I’ve built automation flows with n8n, APIs, webhooks, Google Calendar, and CRM updates, and I’ve worked on voice-agent logic that needs to sound natural under interruptions and edge cases. I can help shape the call flow, tool calling, escalation rules, and post-call automation so the system is reliable from the first test call. My approach would be to map the inbound call path, build the receptionist logic in VAPI or Retell, connect calendar booking and caller capture, then test latency, fallback handling, and handoff behavior before launch. I’d also document the workflow so it can expand into more service lines later. If helpful, I can get started with the HVAC use case and build from there. Best regards, Gabriel

@dvcontact

Hello Sir, Would you like to see a demo of a high-performing AI voice receptionist tailored for HVAC services before making any commitments? I possess a unique blend of AI engineering and client-facing communication skills, ensuring seamless integration of innovative technology with practical business solutions. Let's connect to discuss how I can help elevate your AI initiatives and address your specific needs. Best, Smith

@Tanmoy236

Hi There! I specialize in AI automation and API-driven agent workflows, with 9+ years of experience, 450+ completed projects, Top 1% verified freelancer. I can build and customize your HVAC voice receptionist with VAPI/Retell, n8n, Google Calendar, webhooks and CRM integrations, including qualification, appointment booking, escalation and post-call automation. I’ll focus on natural conversation, interruption handling, reliable tool calling, latency, edge cases and clean human handoffs, then document the workflow for future expansion. I’m also comfortable joining client calls and explaining technical solutions clearly. Which voice platform do you want to use for the initial HVAC demo?

@denisSolution

Hi, I'm Denis, a full-stack developer specializing in AI automation and voice agent integrations for service businesses. I've built production AI receptionists using VAPI, n8n, and API workflows connecting voice agents to calendars, CRMs, and backend systems. I understand your needs: a production AI receptionist handling real HVAC calls, capturing information accurately, checking Google Calendar availability, booking appointments, and triggering follow-ups. I design and deploy systems, explain technical feasibility to clients, troubleshoot integrations, and scope new features as requirements evolve. I've completed similar end-to-end implementations—designing voice agent logic, building n8n automation workflows, testing edge cases like call transfers and escalations, and integrating third-party systems. I'm comfortable with both technical depth and explaining decisions to non-technical business owners. For your HVAC agent, I'd map conversation flow and qualification logic, configure VAPI with function calling for calendar checks and appointment creation, then build n8n workflows for integrations, calendar updates, record management, and follow-up triggers. I'd test for latency, interruption handling, and edge cases before deployment, then monitor and adjust performance. The key consideration is ensuring natural conversation flow that handles real-world interruptions smoothly—this requires iterating on prompt design and testing with actual call scenarios. I'm ready to sta

@codeandcommand

Voice AI is where most bids fall apart on latency, not the LLM part. I'd wire this with VAPI or Retell for the call layer and n8n behind it for the actual automation logic, keeping response times tight enough that it doesn't feel like talking to a bot. Can start today, working flow in 3 days. These numbers are based on the post as written. We'll refine both once we go through the full scope together. Want me to send a quick plan?

@FizzaNadeemK

I can design and build your production ready AI voice receptionist using VAPI, Retell, GPT real time voice AI, n8n, APIs, webhooks, and Google Calendar integrations. I can handle the complete workflow from conversation design and automation to testing, deployment, troubleshooting, and ongoing optimization. I am also comfortable joining client calls as a technical specialist and explaining AI capabilities and integrations clearly to non technical clients.

@ShaikhAneesa

Hello, I have thoroughly reviewed your project requirements for an AI Automation & AI Agent Engineer specializing in Voice AI, VAPI, GPT-Live-1, Retell, and n8n. Let's chat and discuss it further. To handle your project, I will start with designing and deploying production-ready AI voice agents using VAPI, GPT-Live-1, Retell AI, and n8n for automation. I will integrate AI agents with Google Calendar, CRMs, scheduling platforms, and client systems while ensuring reliable inbound call flows, qualification logic, and appointment bookings. The deliverables of the project will include a fully functional HVAC AI receptionist capable of handling inbound calls, capturing caller information, booking appointments, and triggering post-call workflows efficiently. Before signing-off my bid, I would like to ask a question, i.e., how would you prefer the AI receptionist to handle complex customer queries beyond the defined scenarios? Best Regards, Aneesa.

@lazarr4

Hello, I can build the AI voice agent as a controlled order-processing workflow rather than an unrestricted chatbot, which will handle interruptions and maintain a realistic conversation. I’ve built a similar system for an HVAC client using VAPI and n8n—it reduced call handling time by 30% while maintaining high-quality interactions. I’d approach this by using VAPI for the voice interface and n8n for the automation, keeping the system modular so we can add new integrations later. The biggest improvement will come from designing clear escalation rules to avoid misrouting urgent calls. Proper setup will reduce customer wait times and improve first-contact resolution rates. I’ll provide ongoing troubleshooting and documentation to ensure smooth operation after deployment. If this approach works for you, I’d be happy to discuss the specific requirements for the HVAC agent. Thanks, Lazar.

@rofeald

Hi, I can build and deploy your HVAC AI receptionist with VAPI/Retell, real-time voice handling, Google Calendar booking, CRM updates, and n8n-based post-call automations. I’ve built agent workflows using webhooks, REST APIs, JSON, OAuth, and tool-calling logic for inbound call flows, qualification, transfers, and escalation. For HVAC, I’d map intent detection, interruption handling, urgent-call rules, caller capture, and appointment scheduling into a clean state machine so the agent stays natural and deterministic. The setup will be modular, so new branches, integrations, and follow-up workflows can be added without rewriting the core flow. I also document prompts, tools, webhook payloads, and failure paths so your team can maintain it easily. I test for latency, edge cases, calendar conflicts, API failures, and handoff behavior before rollout, then validate the end-to-end call flow in a staging environment. I’m available during U.S. business hours for client calls, demos, and troubleshooting. I’m ready to move forward and deliver the required solution.

@mikes126

This role is a strong match for the kind of AI engineering work where the challenge is not simply creating a voice prompt—it is connecting the agent, business logic, APIs, calendar, CRM and automation layer into one reliable system that can handle real customer conversations. For the initial HVAC receptionist, I would build the flow around: Natural inbound voice conversations with interruption handling VAPI / Retell / real-time voice AI architecture as appropriate Structured conversational prompts and tool/function calling Intent detection for cooling, heating, maintenance, noise and other requests Caller information collection and validation Urgency detection with clearly defined escalation rules Google Calendar availability checks and appointment booking Appointment confirmation back to the caller Post-call n8n automation and CRM updates Webhooks and REST API integrations Error handling, fallback and human handoff Logging and troubleshooting for failed calls/integrations Testing latency, interruptions, edge cases and unexpected caller responses

@muhammadsaad90

I can build and test the HVAC voice receptionist, including VAPI/Retell, n8n, Google Calendar, call logic, appointment booking, escalation, and post-call automation. I’m also comfortable joining client calls, explaining the technical side in simple terms, and troubleshooting integrations when needed. I can start with the 15-hour project at $15/hr, focusing first on a working end-to-end demo that can be tested and expanded for future clients.

@aribaumer

Hi, Quantum Code Solutions is available to transform your voice operations into a polished, automated AI receptionist system. The core of a high-end AI agent lies in low-latency Retell and VAPI routing paired with n8n webhooks to ensure live availability checks for Google Calendar and CRM syncing remain fast and reliable. We plan to utilize GPT-Live-1 and function calling to map your HVAC qualification, urgent escalation logic, and booking flows while providing a modular architecture that adapts across different service clients. Recently, our team delivered a custom AI voice receptionist and automation system for a service business using Retell AI, n8n, and GoHighLevel. We designed structured inbound call flows with fallback logic that handled real-time appointment booking and post-call CRM updates. We resolved latency and interruption edge cases and built a reusable framework that allowed us to deploy similar agents efficiently while joining client calls to explain technical capabilities. Our work made the client interface seamless and streamlined their technical onboarding. Let's discuss in more detail now. Reach out to initiate a conversation! Best regards, Quantum Code Solutions

@pasion0128

★•══•★ Hi client ★•══•★ I have recently completed a similar AI voice receptionist with n8n automation, API integrations, appointment booking, and human-handoff flows. I understand this needs more than prompts: reliable conversations, interruption handling, CRM/Calendar integration, testing, and client-facing technical support. I can build the VAPI/Retell workflow and connect the full automation reliably. Would you like to discuss the HVAC call flow and existing integrations? Best regards, Rico

@richardb063

Hi, starting with the HVAC call flow and Google Calendar booking. Delivering a voice agent that handles interruptions, captures caller details, and books appointments is the goal. Previously I built voice agents where latency and human handoff logic decided whether callers stayed on the line. I am comfortable joining client calls to explain what is possible and what is not. Fifteen hours is tight for this scope, so I would focus on the HVAC receptionist first and add further integrations later. Confident I can deliver a realistic working demo within the budget if awarded. Talk soon.

@elijahhmonreal

Hi there, I'm an AI Engineer with 12+ years in automation and voice systems. Your HVAC receptionist project requires exactly what I specialize in: designing production-ready AI voice agents with VAPI and Retell, building n8n automation workflows, and managing Google Calendar integrations. I'll design a natural conversational flow that handles HVAC-specific scenarios, captures caller details, checks appointment availability, books slots, and escalates urgent cases. The agent will integrate seamlessly with your calendar and CRM, with post-call automations triggered based on outcomes. Beyond building, I'm comfortable joining client calls to explain technical capabilities, discuss integration requirements, troubleshoot issues, and demonstrate the live agent. I'll document all configurations so your team can maintain and expand the system. Let me know if my profile looks interesting, and we can set up a time to talk. Best regards, Elijah M

@MSaadJaved

Hi, I’ll build a production-ready HVAC voice receptionist that handles inbound calls, qualifies the issue, books Google Calendar appointments, and triggers post-call CRM/automation workflows. The main technical risk is natural conversation flow under interruptions and fallback/handoff reliability, so I’ll design tool-calling, escalation rules, and thorough edge-case testing. I recently built a voice + automation workflow that captured caller details, routed urgent cases, and synced records through APIs/webhooks into a CRM and scheduling stack. For your project, I’d start by mapping the HVAC call flow and integration points, then implement the agent in VAPI/Retell with n8n automations and test the end-to-end booking path. Would you like the first version optimized for direct appointment booking, or for qualification before transfer? Best regards, NexLoom

@Jennycreation

Hello Sir, I have already worked on many **cryptocurrency trading systems, automated trading platforms, and exchange API integration projects**. I can also show you demos of my previous work. I am a full-time freelancer with **17+ years of experience** in software development, trading automation, and financial API integrations. My relevant experience includes: * Cryptocurrency trading platforms * Binance and Bybit API integration * MT4 and MT5 trading automation * C#-based copy trading software * Arbitrage trading systems (Binance ↔ Bybit) * Automated order execution (Buy/Sell/Square Off) * Portfolio and position management * Margin and risk management features * Real-time market data integration * Trading bots and strategy automation I have already developed a **C#-based Copy Trading Software** where trades from a master account are automatically copied to multiple child accounts. I have also built **arbitrage trading systems** between Binance and Bybit using their official APIs. In addition, I have developed trading platforms using **Zerodha Kite API, Alice Blue API, Angel One API, and Profitmart API**, including features such as order placement, position management, square-off, margin calculation, and automated trading execution. I have also implemented strategy automation using **AmiBroker CSV integration**. I can start working immediately and deliver a secure, scalable, and reliable trading solution based on your requirements. Please contact me in private chat so we can discuss your project in detail. I will be happy to show you **live demos and examples of my previous trading projects**. Looking forward to working with you. Thanks & Regards, Sanjay