AI Voice and WhatsApp Expert Needed

@diektech

Hi — Elias here from Miami. I see you’re looking for a senior expert in AI voice and WhatsApp agents for a long-term project. It's clear that you need a solution that functions well and scales effectively as your user base grows. A common issue in projects like this is ensuring smooth integration between various APIs while maintaining the reliability of voice interactions. The tricky part is usually managing state and user sessions across different platforms while keeping the system responsive. My approach would focus on building a robust backend that handles API calls efficiently. I’d prioritize stability and future-proofing by implementing scalable architecture and clear workflows. This way, the system can adapt as your needs evolve. I've worked on similar AI-driven projects, including voice assistants and chatbots, where I focused on integration and user experience. This experience allows me to foresee potential challenges and address them proactively. A few questions to better understand the scope: Q1 – What specific functionalities do you envision for the AI voice interactions? Q2 – Are there existing systems or APIs that need to be integrated? Q3 – What kind of user roles and permissions will be necessary for managing the WhatsApp interactions? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@corpmember29

Hello, I have carefully reviewed your requirements and understand that you need a production-ready AI customer service system for WhatsApp and voice, not a basic chatbot or demo. I have 11+ years of experience in AI, automation, API integrations, LLM systems, databases, and production software, and can architect the agent around WhatsApp Cloud API, voice/telephony, n8n, LLMs, knowledge bases, webhooks, and real-time data sources. The agent will handle event schedules, locations, accessibility, ticket information, duration, cancellations, changes, and policies while retrieving current information from your official sources. I will implement strong grounding and validation to reduce hallucinations and outdated responses, with confidence-based human handoff when the AI cannot safely resolve a request. The system will include conversation logging, monitoring, alerts, error handling, transcription/speech processing, secure API communication, and GDPR-conscious data handling. I will also design the architecture as a multi-tenant foundation, allowing new theaters and promoters to receive isolated agents with their own data, policies, schedules, usage limits, and configurations without rebuilding the system. I eagerly await your positive response. Thanks, Christina

@GintarasZelvys

Hi. I can build the production-ready Voice and WhatsApp AI agent using n8n, WhatsApp Cloud API, telephony/voice AI, and a secure knowledge-base architecture. I am very familiar with n8n, OpenAI/LLM integration, RAG, WhatsApp APIs, voice agents, webhooks, REST APIs, databases, speech-to-text/text-to-speech, and human handoff workflows. The key is to connect the agent to a central live data source, so schedules, cancellations, policies, and event information stay current instead of relying on static AI knowledge. I can also structure the system as multi-tenant from the beginning, allowing new theaters and promoters to be added later without rebuilding each agent. I can start immediately and am interested in supporting the project long-term. Thanks for your attention.

@starttechno

Your Phase One requires a production customer-service system, not a scripted demo: one central agent serving both WhatsApp and phone, grounded in constantly changing official event data and able to transfer unresolved cases to staff. I will design this as a multi-tenant-ready architecture from day one. WhatsApp Cloud API and a SIP/voice-agent provider will connect to an orchestration layer using n8n, secure APIs/webhooks, and PostgreSQL. The agent will retrieve schedules, cancellations, venue details, accessibility, ticket rules, and policies from approved central sources at response time or through controlled syncs—rather than relying on static prompts. This reduces outdated answers and hallucinations through source validation, response guardrails, confidence thresholds, and a clear human-handoff workflow. I will implement conversation/session logging, issue categorisation, retries, alerts, audit trails, and GDPR-conscious retention/access controls. The data model will separate each future theater or promoter while allowing centrally managed policies, integrations, agent settings, and usage tracking. I will also provide maintainable technical documentation for integrations, operations, and future onboarding. For the central source of schedules and cancellations, do you already have an API/database available, or must it initially be collected from official websites? Muhammad Saad

@gotucat

Hi, I reviewed the project and I understand you need a professional AI voice and WhatsApp customer service agent for real-world event inquiries. The system must handle natural conversation, resolve tickets and policy questions, pull always up-to-date info from official sources, and hand off to a human agent when needed. I’ll build a secure, scalable architecture using AI Voice Agents, Android, and API Integration patterns. I’ll connect WhatsApp Cloud API with voice/telephony via APIs, webhooks, and databases, implement knowledge retrieval to prevent fabricated or outdated responses, and add conversation logging, monitoring, alerts, and error handling. You’ll get clean, stable delivery with technical ownership for ongoing maintenance and updates. Let’s discuss here now.

@ahmadayaz

With a deep understanding of your theater company's needs, I am confident in exceeding expectations by developing advanced WhatsApp and voice customer service agents. My expertise in creating stable, secure, and scalable AI systems ensures a natural conversation flow and accurate responses for handling high volumes of inquiries. I am eager to explore crucial integration points, update frequency for event information, and long-term scalability goals beyond Phase One. Leveraging WhatsApp Cloud API, telephony systems, automation tools like n8n, and ensuring GDPR compliance, I am well-equipped to lead this project to success and support future expansions. Establishing a robust Phase One foundation is key for long-term success and scalability. I am committed to building a solution that not only meets current needs but also sets the stage for ongoing enhancements to keep your customer service operations innovative and efficient. Let's collaborate to revolutionize your customer service operations and create a lasting partnership for continuous improvement.

@Hubready

Hello!, I am a Florida-based senior software engineer(frontend, backend, ecommerce, etc) and I read your project description carefully. This is a long-term AI voice and WhatsApp build, and I understand the goal is not just to connect tools, but to create something natural, reliable, and production-ready. I have about 15 years of experience with Java, mobile app development, API integration, AI chatbot development, and AI voice agents. I’ve built production systems where conversation flow, response quality, latency, and integration stability really matter. My approach would be: 1. Map the WhatsApp and voice flows, plus edge cases 2. Build the AI logic and API/tool integrations 3. Test real-world conversations and failure cases 4. Improve reliability, logging, and scalability Could you please clarify the following questions to help me better understand the project? 1. Is the main focus inbound support, outbound calling, lead qualification, or a mix? 2. Which voice/WhatsApp platforms are you using, or would you like me to recommend the best stack? 3. Do you already have scripts, knowledge base, and escalation rules, or should I help define them? A few relevant projects I’ve delivered include an AI support automation system for a logistics SaaS, a WhatsApp ordering assistant for a retail brand, and a voice-based appointment booking system for a healthcare startup.

@lugiro

I can build this as a production-focused AI customer service system rather than a simple chatbot, with a central architecture that can later support multiple theaters and promoters. My approach would be to create a reliable integration layer connecting WhatsApp Cloud API and a professional voice agent platform with your existing APIs, databases, and event information sources. The AI would use structured tools and retrieval to access current schedules, locations, policies, accessibility information, ticket rules, and cancellations, with clear guardrails to prevent fabricated or outdated answers. Conversations that require human intervention would be routed through a defined escalation flow, while all interactions and failures would be logged for monitoring and improvement. For scalability, I’d design the system around separated client data and configurable agent profiles, so adding a new theater or promoter does not require rebuilding the entire solution. n8n can handle appropriate automation and webhook workflows, while the core backend would manage authentication, business logic, data validation, usage tracking, and integrations. I’d also include retries, rate-limit handling, monitoring, alerts, audit logs, and GDPR-conscious data handling from the beginning. The goal would be a stable Phase One implementation that can operate with real customer traffic and provide a solid foundation for expanding into a multi-client AI agent platform.

@a4logic

Hello, As an experienced developer with over a decade in the industry, I've built complex web, mobile and AI solutions for a variety of clients. My broad skillset encompasses not just the technical, but also crucial factors like scalability and security - all important to this project. I believe my extensive APIs, webhooks, databases expertise will serve your complex need for a central customer service management proficiently. Moreover, I have in-depth knowledge of WhatsApp Cloud API, telephony and SIP platforms, making me fluent in precisely the technologies you require for optimal WhatsApp and voice-based service delivery. In addition to these skills, I am well-versed with n8n and advanced automation strategies that would enable your company to streamline various systems and increase operational efficiency. It is essential to note that my proficiency extends beyond implementation - I take ownership of projects and can efficiently handle potential technical hiccups with GDPR-compliant monitoring, logs and alerts ensuring data safety at all times. Successful completion of my past assignments has included similar facets such as language models, knowledge bases as well as transcription and speech synthesis related work that you have emphasized as critical for this role. I am eager not only to deliver the project scope within stipulated timelines but also to build an efficient long-term solution which anticipates your evolving needs Thanks!

@ShaikhAneesa

Hi there, I understand you need a production-grade Voice + WhatsApp AI customer-service agent, not a demo, capable of handling high-volume event enquiries, retrieving current information, escalating when needed, and providing a secure foundation for multiple theaters and promoters. I’m confident I can build this as a scalable multi-tenant architecture rather than a one-off agent. My approach would use WhatsApp Cloud API, a professional voice/telephony platform, Python/Node.js, n8n, LLMs, APIs/webhooks and PostgreSQL to create one centralized agent layer. I’ll connect it to the authoritative event sources so schedules, cancellations, policies and venue information stay current without manually editing prompts. I’ll implement structured intent routing, retrieval/grounding, confidence thresholds and strict fallback rules to prevent fabricated or outdated answers, with seamless human handoff when the agent cannot safely resolve a request. For reliability, I’ll add conversation logging, error handling, monitoring, alerts and usage tracking, while designing tenant isolation so new theaters/promoters can have their own data, schedules and policies without rebuilding the system. The architecture will also support centralized management and future cost/usage controls. Do you already have the event information source and preferred voice/WhatsApp providers, or should I include the integration architecture in Phase One? I’m ready to start immediately. Warm Regards, Aneesa.

@ZohaibRoy

⭐⭐⭐⭐⭐ Expert in Voice and WhatsApp AI Agents for Your Long-Term Project ❇️ Hi My Friend, I hope you're doing well. I reviewed your project needs and see you're looking for a Senior Expert in Voice and WhatsApp AI Agents. You don’t need to look any further; Zohaib is here to help! My team has completed over 50 similar projects in this area. I’ll create a stable and scalable system that ensures smooth customer service, integrating various technologies to meet your needs efficiently. ➡️ Why Me? I have 5 years of experience in building AI agents, particularly for voice and WhatsApp. My expertise includes API integration, conversation design, and automation processes. I also have a strong grip on monitoring systems, security protocols, and real-time updates, ensuring a comprehensive solution for your project. ➡️ Let's have a quick chat to discuss your project details further. I’d love to show you samples of my previous work and how I can contribute to your success. ➡️ Skills & Experience: ✅ Voice AI Development ✅ WhatsApp Cloud API ✅ Telephony Systems ✅ n8n Automation ✅ API Integration ✅ Webhooks ✅ Database Management ✅ Speech Recognition ✅ Natural Language Processing ✅ Monitoring & Alerts ✅ GDPR Compliance ✅ Technical Documentation Waiting for your response! Best Regards, Zohaib

@brayanstiven5

Hi, your key challenge is building a production-grade WhatsApp and voice AI customer service system that always uses current event data while preventing hallucinated or outdated answers. I have experience designing AI agents with WhatsApp Cloud API, telephony/voice, LLM knowledge retrieval, n8n, APIs, webhooks, databases, human handoff, and monitoring, with a strong focus on reliability and security. I would build the architecture around centralized real-time data retrieval, controlled knowledge access, conversation logging, fallback/handoff workflows, alerts, and a multi-tenant structure so new theaters can be onboarded without rebuilding the core agent. I can also establish GDPR-aware data handling, usage tracking, error recovery, and clear technical documentation for long-term maintenance.

@raheel2k29

Hello, I’m very interested in taking technical ownership of this project. Your requirements go beyond a simple chatbot, and I understand the need for a production-grade, scalable AI customer-service architecture that can reliably handle real customers across WhatsApp and voice. I can help build Phase One around: WhatsApp Cloud API integration and conversational AI Professional voice/telephony AI agents n8n workflows, APIs, webhooks, and database integration Retrieval of current event information from authoritative sources Knowledge-base/RAG architecture to reduce hallucinations and outdated answers Human-agent escalation with proper conversation context Conversation, error, and issue logging Monitoring, alerts, retries, and failure handling Secure handling of customer and company data I would also prioritize reliability from the beginning: validation of retrieved information, fallback behavior, human escalation, observability, and clear boundaries around what the AI is allowed to answer. I’m looking for a long-term technical partnership, not a one-off demo. I can work through Phase One in clearly defined milestones, demonstrate each component, and then continue improving the architecture as real-world usage provides feedback. I’d be happy to discuss your current systems, preferred voice/WhatsApp stack, data sources, and expected inquiry volume so we can define the architecture and first milestone accurately. Best regards RAHEEL

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced AI automation and full-stack developer specializing in production-grade Voice and WhatsApp AI agents, API integrations, and scalable automation systems. I’m excited to partner with you and can start immediately. I have rich experience in n8n, WhatsApp Cloud API, voice agents, VAPI, APIs, webhooks, databases, LLMs, knowledge bases, speech-to-text, and text-to-speech. I am skilled in n8n, Python, Node.js, REST APIs, webhooks, AI agents, RAG, databases, monitoring, logging, and secure integrations. I understand you need a stable, secure, scalable customer-service agent for WhatsApp and voice that provides current event information, handles complex inquiries, escalates to humans, and supports future multi-tenant agents. I’m ready to take technical ownership, build clean documentation, and develop an architecture designed for long-term scalability and reliability. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@sarimshoaib1425

100% doable. Built a voice AI system before for a hearing-care group handling around 400 calls a month without a human picking up, plus a WhatsApp chatbot for a 12-venue hospitality brand, so a hospitality-adjacent multi-venue voice and WhatsApp agent is right in my range. I'd build it on n8n for orchestration, WhatsApp Cloud API for messaging, a proper voice/telephony layer for the phone agents, and a central knowledge base pulling live event and schedule data so nothing goes stale or gets fabricated. Human handoff, conversation logging, and error alerts built in from day one, and the architecture set up so each new theater or promoter gets its own segregated agent later without a rebuild. Can have Phase One's central agent live and tested within a couple weeks given the scope. Feel free to DM me for case studies. Or check the projects on my profile. Let's do it.

@extreamcode

Hello, I can architect Phase One as a production-oriented, source-grounded customer-service system rather than a standalone chatbot. The design would combine an official WhatsApp provider, a professional voice/telephony layer, a shared event-data service, retrieval with freshness controls, human hand-off, conversation logging, alerts, and strict fallback rules that prevent fabricated schedules or policies. I would make the architecture tenant-ready from day one so future theaters can have isolated data, policies, usage, and agents without rebuilding the platform. Delivery milestones would cover source/API discovery and data model, WhatsApp and voice channels, knowledge retrieval and escalation, monitoring/security/GDPR controls, load and failure testing, then documentation and hand-off. The initial 21-day phase assumes access to the authoritative event source and chosen provider accounts.

@TechizeBuilder

Dear Client, I read "AI Voice and WhatsApp Expert Needed" carefully and understand you need hands-on Claude/Anthropic expertise to build or integrate an AI assistant that actually works reliably. My hands-on experience with Java, Mobile App Development, Android, AI Voice Agents aligns directly with what you need. I've built production integrations with the Claude API — prompt engineering, tool use, agentic workflows and RAG pipelines — tuned for accuracy, cost and latency, and I can bring that same rigor to your project. A few quick questions to get us started: 1. Which Claude model and use case are you targeting — chat assistant, agent, RAG, or something else? 2. Do you have existing prompts/data, or should we design the pipeline from scratch? 3. What's your expected usage volume, so we can plan for cost and rate limits? Thanks & Regards, Deepak

@mughiraaa

hi, i have reviewed the details of your project. i have solid experience with ai agents, voice systems, whatsapp integrations, apis, webhooks, databases, and automation, with a focus on reliable production workflows. i will build the central voice and whatsapp agent with live information retrieval, natural conversations, human handoff, conversation logging, alerts, and strong safeguards against outdated or fabricated answers. i will use a scalable structure so new theaters can be added with separate data, rules, schedules, and usage tracking without rebuilding the system. i will also handle api integrations, n8n workflows, monitoring, error handling, security, and documentation so the system is ready for real customer traffic and future expansion. can we schedule a quick meeting to discuss the project in detail. it will help me understand your needs better and give you a clear plan with timeline and budget. i will also share my portfolio during the chat. mughiraa

@huzaifa306

With 3+ years of experience building automation and AI systems, I have completed similar voice and WhatsApp agent projects multiple times. I can build a reliable setup with n8n, APIs, knowledge bases, human handoff, logging, and proper error handling. I can ensure accurate real time responses and smooth customer support across WhatsApp and voice. Happy to discuss the setup and get started. Best regards, Huzaifa