Hire the Best AI Receptionist Builders

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Kenneth C.

AI Training | AI Consultant | Claude Code | Forward Deployed Engineer

Los Angeles, California
$53 per hour
33 jobs
$10K+ total earnings

✅ Saved over $250k in software in payroll with automation ✅ Companies using my systems have generated over $10M in revenue ✅ AI Consulting for Executive Director at Morgan Stanley ✅ US Military AI Certified I’ve worked with AI since 2023 & I've worked with 38 businesses across 15+ industries during that time. Here’s some of my past experience: - I helped generate ~$4M for a charter bus company by creating a contracting tool. - I helped generate ~$9M in annual revenue for a law firm by making an AI lead qualification system. - I helped generate ~$5M in annual revenue for a door to door company by creating an automated lead scraper. - I revealed over $100k of lost revenue for a residential cleaning company by creating a KPI analytics system. - I recovered $10,000 of missed calls for a mobile instrument maintainer by creating an AI voicemail system. - I recovered $2,250 worth of monthly recurring revenue for a local MMA gym with an AI receptionist. - I helped recover $25,000 in revenue for an auto repair shop by creating an AI voicemail system.

Sonu K.

AI Voice & Speech Engineer || AI Receptionist || Voice Agents

New Delhi, India
$15 per hour
2 jobs
$10K+ total earnings

𝗔𝗜 𝗩𝗼𝗶𝗰𝗲 & 𝗦𝗽𝗲𝗲𝗰𝗵 𝗘𝘅𝗽𝗲𝗿𝘁 𝘄𝗶𝘁𝗵 𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝗔𝗺𝗮𝘇𝗼𝗻 𝗖𝗼𝗻𝗻𝗲𝗰𝘁, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜, 𝗔𝗦𝗥/𝗦𝗧𝗧/𝗧𝗧𝗦, 𝗔𝗜 𝗥𝗲𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗶𝘀𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻. I help businesses build scalable AI Voice Solutions, Voice Agents, and AI Receptionist systems using Amazon Connect, Amazon Transcribe, Amazon Polly, Vapi, and modern Conversational AI technologies. With 5+ years of experience, I specialize in creating human-like voice assistants, automated call handling systems, speech-to-text pipelines, and real-time AI conversation workflows for startups and enterprises. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ➔ 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 • AI Voice Agents • AI Receptionist • Conversational AI • Intelligent IVR Systems • Voice Automation • AI Call Center Solutions • Real-time Voice Assistants ➔ 𝐒𝐩𝐞𝐞𝐜𝐡 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 • Automatic Speech Recognition (ASR) • Speech-to-Text (STT) • Text-to-Speech (TTS) • Voice Synthesis • Real-time Audio Processing • Speech Analytics ➔ 𝐀𝐖𝐒 & 𝐕𝐨𝐢𝐜𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 • Amazon Connect • Amazon Transcribe • Amazon Polly • Amazon Lex • AWS Lambda • Vapi AI • Twilio Voice • OpenAI Realtime API • ElevenLabs • Deepgram ➔ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 • Python • Node.js • FastAPI • REST APIs • WebSockets • CRM & ERP Integrations • SIP & VoIP Integrations • Cloud Deployment & Automation ➔ 𝐏𝐫𝐨𝐯𝐞𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 ✔ Automated customer call handling workflows ✔ Reduced support workload with AI Voice Agents ✔ Built scalable AI Receptionist systems ✔ Integrated voice systems with CRMs & business platforms ✔ Delivered real-time conversational AI solutions ➔ 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? • Strong expertise in enterprise Voice AI systems • End-to-end development & deployment support • Focus on scalability, automation, and performance • Business-oriented problem-solving approach • Long-term support and optimization Let’s Connect Looking for an AI Voice Agent, Amazon Connect Expert, or Conversational AI Developer? Send me a message with your project details, and let’s build a scalable AI voice solution for your business.

Shobhit G.

AI Voice Agent Developer | Healthcare AI | AI Receptionist | RCM

New Delhi, India
$39 per hour
86 jobs

⭐⭐⭐⭐⭐ I build Healthcare AI and Document Automation systems, including Voice AI Agents and AI Receptionists, RCM and Medical Billing Automation, Document AI, Invoice Automation, and Contract AI Automations My core focus is helping healthcare providers, RCM companies, and enterprises automate high-volume workflows using Voice AI, Document AI, and AI Agents. I have ready solutions and proven implementation experience across: ➜ Voice AI Agents and AI Receptionists for Healthcare AI front desks that answer patient calls 24/7, book and reschedule appointments, handle FAQs, capture patient information, route urgent calls, and integrate with EHRs, scheduling systems, and CRMs. ➜ Revenue Cycle Management and Medical Billing Automation Automation for eligibility verification, prior authorization, charge capture, medical coding, claims processing, claim scrubbing, submission, payment posting, denial workflows, and payer follow-up. ➜ Healthcare Document and eFax Automation AI-powered OCR and document intelligence that classify inbound faxes, referrals, medical records, lab documents, insurance documents, and prior authorization requests, extract structured data, and route information into the appropriate workflow or EHR. ➜ AI Medical Scribe Voice and consultation transcription converted into structured clinical notes for provider review, helping reduce manual documentation and after-hours charting. ➜ Invoice and AP Automation AI pipelines that extract invoice data, validate line items, match invoices with purchase orders, identify discrepancies, route approvals, and push structured information into ERP or accounting systems. ➜ Contracting and Contract Management AI AI-powered contract repositories, clause extraction, contract search, renewal tracking, risk identification, contract comparison, drafting assistance, approval workflows, and document Q&A. ➜ Document AI and Intelligent Document Processing End-to-end document extraction pipelines using OCR, LLMs, classification, validation, human review, and structured data extraction for PDFs, scanned documents, forms, contracts, invoices, medical records, and enterprise documents. What I Build ➜ Healthcare AI Receptionists ➜ Voice AI Agents ➜ RCM Automation Platforms ➜ Medical Billing Automation ➜ Prior Authorization Automation ➜ Medical Coding Agents ➜ AI Medical Scribes ➜ eFax and Referral Automation ➜ Document AI and OCR Pipelines ➜ Intelligent Document Processing platforms ➜ Invoice Processing and AP Automation ➜ Contract Management and CLM Platforms ➜ AI Search and RAG Applications ➜ Workflow Automation and AI Agents Voice AI Expertise I build inbound and outbound Voice AI systems using: ➜ Vapi ➜ Retell AI ➜ ElevenLabs ➜ Twilio ➜ Bland AI ➜ OpenAI Typical workflows include: ➜ Healthcare AI receptionist ➜ Patient appointment scheduling ➜ Appointment reminders ➜ Patient intake ➜ After-hours call handling ➜ Call routing and escalation ➜ Insurance and eligibility workflows ➜ Lead qualification ➜ Customer support ➜ CRM and EHR integrations Document AI Expertise I have built DocuSensa, our Document AI platform for extracting, understanding, searching, and automating business documents. Typical Document AI workflows include: ➜ OCR and document extraction ➜ Document classification ➜ Structured JSON extraction ➜ Human-in-the-loop validation ➜ Contract clause extraction ➜ Invoice extraction and reconciliation ➜ Medical document processing ➜ eFax classification ➜ Referral processing ➜ Document search and RAG ➜ Enterprise knowledge bases ➜ Approval and review workflows My Track Record ➜ Top Rated Plus on Upwork ➜ 100% Job Success ➜ 74+ completed Upwork projects ➜ 10+ SaaS products launched ➜ Customers across 15+ countries ➜ 15+ Voice AI agents processing 30,000+ calls per month ➜ Microsoft for Startups approved for DocuSensa ➜ Experience building healthcare, document automation, workflow automation, and enterprise AI platforms Technical Stack ➜ AI: OpenAI, Claude, Llama, LangChain, RAG ➜ Vector Databases: Qdrant, Pinecone ➜ Backend: Python, Django, FastAPI ➜ Frontend: React, Next.js ➜ Databases: PostgreSQL ➜ Cloud: Azure, AWS ➜ Voice AI: Vapi, Retell AI, ElevenLabs, Bland AI, Twilio ➜ Automation: Make, Zapier, Power Automate ➜ Integrations: EHR/EMR systems, HubSpot, Salesforce, Gmail, Microsoft, Shopify, Slack and third-party APIs That might mean: ➜ answering more patient calls without increasing front-desk headcount ➜ reducing manual medical billing work ➜ automating claim and eligibility workflows ➜ processing thousands of documents automatically ➜ reducing invoice processing time ➜ creating a searchable contract repository ➜ extracting structured data from

Nabil A.

Senior AI Engineer | ML , LangChain, OpenClaw, MCP, RAG | Voice AI

Lahore, Pakistan
$10 per hour
88 jobs
$100K+ total earnings

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝗮𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 $30𝗞–$40𝗞 𝘆𝗲𝗮𝗿𝗹𝘆 𝗯𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝘀𝗮𝗹𝗲𝘀, 𝗮𝗻𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 I have partnered with 10+ companies across real estate, healthcare, social media, education, manufacturing, cybersecurity, and enterprise SaaS to deploy production-ready AI agents that handle calls, schedule appointments, and send real-time notifications to owners for important emails. These are fully operational systems running 24/7. 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲: ➞ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 — Voice AI receptionist that answers calls and texts 24/7, books appointments, and qualifies leads automatically · Helps businesses stop missing customers, reduce response delays, and free up teams to focus on sales · Trusted by 500+ businesses, with 2M+ conversations handled, 5,000+ appointments booked, $2.5M+ client savings, and 99% uptime. ➞ 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐈 — Built 𝐀𝐈 𝐦𝐞𝐞𝐭𝐢𝐧𝐠𝐬 into appointments and developed an AI agent that listens to consultations, drafts prescriptions for physicians, and generates clear action lists for patients automatically ·𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐯𝐞𝐝: 30+ by AI agents through continuous recovery-plan monitoring and early provider alerts when health dropped below the threshold · 𝐝𝐨𝐜𝐭𝐨𝐫 𝐡𝐨𝐮𝐫𝐬 𝐬𝐚𝐯𝐞𝐝: 5/week by reducing prescription-writing and routine documentation time. ➞ 𝐂𝐍𝐂 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 — AI-powered system that captures images of each finished part, compares them with drawings, and creates smart inspection reports · 𝐒𝐚𝐯𝐞𝐝 15 𝐡𝐨𝐮𝐫𝐬/𝐰𝐞𝐞𝐤 by cutting manual work and reducing errors · Uses computer vision and Claude to make quality checks faster, easier, and more accurate. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: ✅ 𝐀𝐈 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, Vertex AI, MCP Servers ✅ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: AI Agents, Multi-Agent Frameworks, Agentic Workflows, Workflow Orchestration, Autonomous AI Systems ✅ 𝐕𝐨𝐢𝐜𝐞 & 𝐒𝐩𝐞𝐞𝐜𝐡 𝐀𝐈: Retell AI, OpenAI Realtime API, OpenAI TTS, ElevenLabs, Whisper, Voice AI Agents, Speech-to-Text, Text-to-Speech ✅ 𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: RAG Pipelines, Pinecone, Weaviate, ChromaDB, Azure AI Search, Amazon OpenSearch, Hybrid Search ✅ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: PDF Parsing, OCR, PO Automation, Document Q&A, ERP Integration, NetSuite, Oracle ✅ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, Deep Eval, LLM Evaluation, Prompt Testing ✅ 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Prompt Design, Chain-of-Thought, Prompt Chaining, System Prompt Architecture, Prompt Optimization, Structured Outputs, Function Calling. ✅ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬: GPT-4o, GPT-4 Turbo, GPT-o1, GPT-o3, Claude Sonnet, Claude Opus, Claude Haiku, Gemini 1.5 Pro, Gemini 2.0 Flash, Whisper, ElevenLabs ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐈𝐧𝐟𝐫𝐚: Python, FastAPI, Django, Flask, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean ✅ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Streamlit ✅ 𝐃𝐚𝐭𝐚: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Celery, ETL, Data Pipelines ✅ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite ERP, Zapier, Make, Slack, MS Teams, Stripe, REST, GraphQL

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AI receptionist builder hiring guide

Businesses with frequent inbound calls or messages may need a way to handle routine inquiries, scheduling, and call routing outside normal staffing workflows. Hiring an AI receptionist builder brings specialized expertise to design and integrate voice or chat agents that can respond to customers, collect information, schedule appointments, and escalate conversations to people when needed.

What does an AI receptionist builder do?

An AI receptionist builder designs, integrates, tests, and maintains AI-powered voice or chat systems for handling inbound customer interactions. Depending on the project, they may combine telephony, speech recognition, language models, text-to-speech, scheduling tools, and business data to create an agent that follows defined workflows and hands off conversations appropriately.

Typical responsibilities for AI receptionist builders include:

  • Configuring voice or chat platforms, phone numbers, and agent instructions
  • Designing conversation flows, call routing, qualification steps, and human handoffs
  • Connecting calendars, CRMs, APIs, and other business systems
  • Building workflows for scheduling, lead capture, FAQs, and message taking
  • Configuring voice, language, latency, and multilingual capabilities when required
  • Establishing guardrails for sensitive, unsupported, or high-risk requests
  • Testing common, unusual, and failed conversation scenarios before launch
  • Monitoring call outcomes, errors, latency, and other performance metrics after deployment
  • Refining prompts, workflows, integrations, and escalation rules over time

How to hire an AI receptionist builder on Upwork

Hiring the right AI receptionist builder comes down to a clear job post, careful evaluation, and a well-scoped contract. 89% of first-time clients complete a contract on Upwork, showing that many new clients successfully move from hiring to project completion.

Step 1: Post a job

Start with a clear job post to help AI receptionist builders understand your call workflows, integrations, and technical requirements.

  • Describe call volume, business hours, languages, and common call types
  • Define tasks such as answering FAQs, qualifying leads, routing calls, or booking appointments
  • List required integrations with your calendar, CRM, phone system, or other tools
  • Specify preferred voice, telephony, or AI platforms when applicable
  • Define human escalation and after-hours requirements
  • Identify applicable privacy, recording, security, or compliance requirements
  • Share your timeline, budget, and expected deliverables
  • Adapt this AI developer job description to your project, including voice AI, telephony, call flows, scheduling, and CRM integrations.

The Job Post Generator powered by Uma™, Upwork's Mindful AI, can draft an AI receptionist builder job post from a few sentences. On Upwork, the average time from job post to first proposal is just three hours.

Step 2: Evaluate candidates

Focus on candidates with experience building and deploying voice agents similar to the system you need.

  • Review demos or recordings for latency, clarity, and conversational flow
  • Confirm experience with your telephony, CRM, calendar, and AI stack
  • Look for work involving call routing, scheduling, qualification, and human handoffs
  • Assess how candidates handle failed actions, misunderstood requests, and other edge cases
  • Look for experience testing and monitoring production voice agents
  • Confirm familiarity with relevant privacy, security, or compliance requirements
  • Read client feedback for technical execution, communication, and reliable delivery

Uma can conduct instant video interviews and provide shortlists of candidates with side-by-side comparisons, so you can narrow a long list quickly. 

Step 3: Interview top choices

Use interviews to understand how candidates design reliable voice experiences and handle real-world call scenarios.

  • Ask how they diagnose and reduce latency in real-time conversations
  • Explore how they handle interruptions, silence, misheard input, and unexpected requests
  • Discuss how they prevent failed calendar or CRM actions from disrupting a call
  • Have candidates explain when and how the agent should transfer to a person
  • Explore their approach to call recording, sensitive data, and applicable privacy requirements
  • Ask how they test call flows before deployment and monitor them afterward
  • Consider a small paid test, such as building one appointment-booking or call-routing flow
  • Adapt these AI developer interview questions to your voice AI project

You can schedule and conduct interviews within Upwork Messages, with a transcript and summary provided immediately after each conversation. 

Step 4: Agree on scope and begin work

Before development begins, align on agent behavior, integrations, access, testing, costs, and postlaunch responsibilities.

  • Define call flows, integrations, escalation rules, and final deliverables
  • Provide appropriate access to phone, calendar, CRM, and other systems
  • Set milestones for prototype, integration, testing, and launch
  • Define success metrics such as task completion, transfer rate, or latency
  • Agree on test scenarios and acceptance criteria before go-live
  • Clarify ownership of accounts, phone numbers, prompts, code, and call data
  • Establish responsibility for telephony, model, and other usage costs
  • Define monitoring, postlaunch tuning, documentation, and support

Messaging and the contract workroom keep communication and project management in one place. Identity verification, payment protection, hourly tracking, and project funds add security for both sides. 

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring an AI receptionist builder cost?

Hiring an AI receptionist builder generally costs $30-$61 per hour, based on typical chatbot developer rates on Upwork. Project costs vary with the complexity of the conversation flows, telephony setup, scheduling and CRM integrations, multilingual support, and security or compliance requirements. Use these typical ranges as a starting point for estimating your AI receptionist project budget: 

No-code voice agent setup

$500-$1,500/project

Entry level
  • Single-line agent
  • Basic call routing
  • Calendar booking

Custom voice agent build

$2,500-$8,000/project

Expert
  • Custom conversation flows
  • Language model tuning
  • Live call testing

CRM and telephony integration

$800-$3,000/project

Intermediate
  • CRM sync
  • Appointment logging
  • Call transfer rules

Multilingual or multilocation rollout

$4,000-$12,000/project

Expert
  • Multiple languages
  • Location-based routing
  • Shared reporting

Ongoing tuning and support

$500-$2,000/project

Intermediate
  • Prompt updates
  • Performance monitoring
  • Monthly reporting

Frequently asked questions

Is hiring an AI receptionist builder worth it?

Yes, hiring an AI receptionist builder can be worthwhile when your business handles frequent inbound or after-hours calls, appointment requests, lead qualification, or routine customer questions. A specialist can design an agent that handles repeatable interactions, integrates with your existing systems, and routes conversations to people when needed. The value is greatest when you need consistent coverage beyond staffed hours or have recurring, well-defined call workflows.

How long does it take to build an AI receptionist?

A basic AI receptionist with straightforward call flows may take a few days to configure and test, while a custom system can take several weeks or longer. Timelines depend on factors such as call-flow complexity, calendar and CRM integrations, telephony setup, testing requirements, multilingual support, and any applicable security or compliance reviews.

Can an AI receptionist integrate with my CRM and calendar?

Yes, an AI receptionist can integrate with CRM and calendar systems to perform tasks such as looking up customer information, logging calls or leads, checking availability, and scheduling appointments. The available functionality depends on the APIs and integrations supported by your CRM, calendar, and AI receptionist platform.

Can an AI receptionist transfer calls to a human?

Yes, an AI receptionist can be configured to transfer calls to a person based on predefined rules, such as the caller’s request, issue type, or inability to complete a task. Depending on the system and integrations, it may also collect relevant information before the transfer and pass that context along to support the handoff so callers don’t have to repeat themselves.

What ongoing costs come with an AI receptionist?

Beyond the initial build, an AI receptionist may have recurring costs for the voice AI platform, phone numbers and call minutes, speech and AI model usage, integrations, and hosting. You may also budget for monitoring, maintenance, and ongoing improvements to prompts and call flows. Actual costs depend largely on call volume, conversation length, platform pricing, and the services your system uses.