Hire the Best Vapi Developers

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Muhammad A.

AI Voice Agent Developer | Conversational AI | Vapi, Retell, Twilio

Lahore, Pakistan
$30 per hour
327 jobs
$300K+ total earnings

I build AI voice agents that answer calls, book appointments, and qualify leads, and RAG systems that turn large document libraries into instant, accurate answers. Expert-Vetted (top 1% on Upwork), Top Rated Plus, $300K+ earned across 250+ projects and 9,500+ hours. If you need an AI receptionist that handles inbound calls 24/7, an outbound voice agent for lead qualification and follow-ups, or an LLM assistant grounded in your own documents, this is the exact work I do every day. WHAT I BUILD AI Voice Agents (Vapi, Retell AI, Twilio, Deepgram, ElevenLabs) โžค Inbound AI receptionists: call answering, FAQs, appointment booking, smart transfer to a human when needed โžค Outbound agents: lead qualification, appointment reminders, follow-up calls โžค Real-time call transcription, sentiment analysis, voicemail detection, and call summaries pushed to your CRM โžค Telephony done right: SIP trunking, call routing, recording, and compliance-aware setups RAG and LLM Systems (AWS Bedrock, Claude, GPT, LangChain, pgvector) โžค Retrieval augmented generation over large corpora: chunking, embeddings, vector search, reranking โžค Document Q&A assistants and AI chatbots that cite sources instead of hallucinating โžค Ingestion pipelines with OCR (Textract), queues (SQS), and cost monitoring Full-Stack Delivery Node.js, NestJS, FastAPI, Python, Next.js, React Native, PostgreSQL, MySQL, Redis, Docker, AWS (EC2, RDS, Bedrock, SQS). I ship the voice AI agent, the automation around it, and the product it lives in: dashboards, auth, billing, analytics. SELECTED WORK ๐ŸŸข SlayAI (legal AI platform): architected the RAG pipeline serving ~4,000 active users over a 300GB+ legal document corpus on AWS Bedrock, pgvector, SQS, and Textract. 97% answer accuracy in internal evals, with automated document ingestion and readiness checks. ๐ŸŸข HopDial (VoIP + AI calling platform): built live-call AI transcription and sentiment analysis on Twilio infrastructure with Deepgram STT and ElevenLabs TTS. ๐ŸŸข WhoseNo (my own product): high-traffic phone intelligence platform with 5.79M+ records, MySQL and Redis at scale behind Cloudflare, plus a companion Android app. WHY CLIENTS KEEP ME 96% Job Success across 178 reviews. Most of my work turns long-term: clients bring me in for one agent, and I end up owning their AI roadmap. I communicate daily, demo early, and never disappear. HOW TO START Send an invite or book a consultation. Tell me your call volume or document volume and the outcome you want. I'll come back with an architecture, timeline, and fixed scope.

Asad J.

AI Automation Specialist | AI Voice Agent Developer | n8n, Make, GHL

Woodbridge Township, New Jersey
$45 per hour
14 jobs
$20K+ total earnings

Your team retypes data, chases leads by hand and misses calls after hours. I'm an AI automation specialist and AI agent developer, and I take that work off their plate. I build n8n, Make and Zapier workflows, AI agents and AI voice agents that answer calls, qualify leads, book appointments, and move data between your CRM and the tools you already use. ๐Ÿ† Top Rated | 100% Job Success | $20K+ earned ๐ŸŒŸ๐ŸŒŸ๐ŸŒŸ๐ŸŒŸ๐ŸŒŸ"AJ knocked it out of the park! ... everything was delivered on time, not to mention he suggested and implemented 3 tools I had not even thought of." โœ… WHAT I'VE BUILT Inbound AI voice agent for home services (HVAC, plumbing, electrical). It answers 100% of inbound calls, 24/7. Built on Vapi and Twilio with custom MCP tools, it gives callers live information, books the job and adds it to the CRM on its own. A new customer goes from first call to confirmed booking without anyone on the team touching it. Outbound AI voice agent with email and SMS outreach, run from the CRM. Daily research automation in n8n. The client used to check 14 websites every day, pull the new data, sort it and enter it into their project management tool by hand. The workflow now runs daily on its own, collects from all 14 sources, uses OpenAI to sort, label and segment the data, and posts it straight into their project management tool. The manual work is gone. AI lead response in n8n and GoHighLevel. When a lead fills out a Meta ad or website form, the workflow writes a reply with AI, sends it by SMS and email, answers the lead's replies, and keeps the conversation going until your team takes over. The GoHighLevel version adds automated follow-ups. Outbound AI voice agent for lead enrichment. It calls each business on your lead list and confirms the details you have on file. โœ… WHAT I AUTOMATE Workflow automation. n8n, Make, Zapier and GoHighLevel workflows for lead intake, routing and follow-up, email and SMS sequences, reporting, and keeping data in sync across your tools. AI agents. LLM agents on OpenAI and Claude, with custom MCP tools, that research, sort and label data, draft replies, and hand off to a person when they should. AI voice agents. Inbound and outbound agents on Vapi, Retell AI, ElevenLabs and Twilio for call answering, booking, lead qualification, outreach and lead verification. CRM automation. Bookings, leads and follow-ups written straight into your CRM, so records update themselves. Custom code where a workflow tool stops. Python, APIs and webhooks. โœ… HOW I WORK 1. I map the manual work first: who does it, how often, and what it costs you. 2. You get a working version fast, so you react to something real instead of a spec. 3. I handle the unglamorous part: edge cases, error handling, logging and alerts, so nothing breaks quietly. 4. As you grow, I extend what's there instead of rebuilding it. TOOLS & STACK: AI Automation | AI Agents | AI Voice Agents | Inbound & Outbound Calling | n8n | Make | Zapier | GoHighLevel | Workflow Automation | Business Process Automation | CRM Automation | Lead Follow-Up | Vapi | Retell AI | ElevenLabs | Twilio | MCP | OpenAI | Claude | API Integration | Python โœ… START HERE Send me the task your team repeats most. I'll reply with how I'd automate it, which tools I'd use, and what it would cost to build.

Daniel I.

GoHighLevel Automation Engineer | n8n, API Integrations & Voice AI

Ado Odo, Nigeria
$25 per hour
42 jobs
$10K+ total earnings

You are already paying a premium for Meta and Google Ads. The traffic is there. But if your Meta Conversions API (CAPI) isn't firing, your ad attribution is lost, or your GoHighLevel webhooks silently fail, you are setting fire to your marketing budget. You bought into the GoHighLevel ecosystem to consolidate your software and scale. Instead, you are likely dealing with duplicate contacts, hitting the limits of basic Zapier connections, or struggling to force GHL to sync properly with your external, industry-specific software. THE BRUTAL TRUTH ABOUT HIRING ON UPWORK: Most freelancers pitching as "GHL Experts" are just drag-and-drop funnel builders. They will upload a generic snapshot, hit publish, and disappear. They don't understand JSON payloads. They don't know how to configure server-side tracking. They expect you to write the exact technical brief and manage their every click. If you want an order-taker to micromanage, I am not your guy. I am an independent Automation & Tracking Engineerโ€”not an agency. If you want someone who takes a business problem, architects the data flow, writes the webhooks, tests every single node end-to-end, and hands you back a flawless, revenue-generating machineโ€”we need to talk. HERE IS EXACTLY HOW I BULLETPROOF YOUR TECH STACK: โ€ข META CAPI & AD ATTRIBUTION TRACKING: I fix the silent killers of your ad campaigns. I build server-side tracking, GTM, GCLID preservation, and offline conversion uploads so Meta and Google actually know which leads are closing. โ€ข ADVANCED API & MIDDLEWARE INTEGRATION: Zapier is great for beginners; I build for scale. Fluent in Make com, n8n, and custom REST APIs. I connect GHL to external databases, CRMs, and custom software with proper deduplication and error handling. โ€ข OMNI-CHANNEL AUTOMATION ARCHITECTURE: I build logic-tight pipelines. Complex conditional branching, math operations, custom objects, and multi-platform syncs (e.g., pushing data simultaneously to GHL, Apollo, and Slack without data collisions). โ€ข AI VOICE AGENTS & LLM INTEGRATION: I integrate conversational AI (Vapi, Retell, Claude, OpenAI) directly into your GHL pipelines via webhooks to qualify leads and book appointments natively 24/7. โ€ข SYSTEM AUDITS & TECH OPS: Got a messy sub-account from a previous freelancer? I untangle broken workflows, resolve API errors, clean your database, and fix A2P 10DLC compliance so your SMS actually delivers. Whether you run a high-volume Ad Agency, a B2B SaaS, or a high-ticket service business, the goal is the same: flawless data flow and lower cost-per-acquisition. You do not need to walk me through every step. You show me the scope, I build it, I test the edge cases, and I ship a working system that produces results from Day 1. LET'S STOP THE DATA LEAKS IN YOUR FUNNEL. Click the "Invite" or "Hire" button at the top of this page. Send me a brief message about your current GoHighLevel or tracking bottleneck, and let's see if we are a fit to build a system that scales.

Awais K.

AI Automation Expert | n8n, Make, Zapier, AI Voice Agents| Claude Code

Manchester, United Kingdom
$50 per hour
116 jobs

I help scaling e-commerce brands, agencies, and service operators build governed, multi-agent AI systems and automated backend pipelines that eliminate manual work, stop dropped handoffs, and drive measurable revenue growth. With 5+ years of production experience, I design deterministic API integrations, custom microservices, and AI workflows using n8n, Make, Zapier, and Python/Node.js. What I Architect & Build 1. Multi-Agent AI Systems & RAG Architectures LLM Engine Integration: Claude 3.5, OpenAI (GPT-4o), Gemini, DeepSeek, and Hugging Face. Voice & Chat Agents: High-reliability inbound/outbound agents built with VAPI, ElevenLabs, Twilio, RingCentral, and Botpress, backed by human handover queues and audit logs. Agent Infrastructure: FastAPI, Docker, Redis/BullMQ queues, Vercel, Supabase, and DigitalOcean/Contabo. 2. E-Commerce & Warehouse Operations Platforms & ERPs: Shopify, Linnworks, Peoplevox, NetSuite, BigCommerce, Magento, TikTok Shop, Shopee, and Lazada. Logistics & Shipping: FedEx, DHL, ShipStation, AfterShip, and custom image transfer systems. Customer Service Automation: Gorgias, Zendesk, and Trustpilot integrated with CRM and inventory systems for automated first-contact resolution. 3. CRM, Sales & Lead Generation Engines CRM Ecosystems: Salesforce, GoHighLevel (GHL), HubSpot, Mondaydotcom, Zoho, ClickUp, Airtable, CATS CRM, and Bitrix24. Outbound & Data Scraping: Clay, Instantly, HeyReach, Rb2b, Signalbase, Firecrawl, ScraperAPI, Apify, Puppeteer, Playwright, Selenium, and Serper.dev. Comms & Booking: Dialpad, Twilio, MessagingApps API, Slack, Calendly, and SimplyBook.me. 4. Full-Stack Web, AI Media & Data Workflows Frontend & Web Development: React, Next.js, Webflow, WordPress, Lovable, Figma, HTML/CSS/JS, and custom portals. AI Content Generation: VEO, Sora, Fal.ai, Vizard AI, Gamma, Canva, and custom automated social posting (Buffer/Metricool). Payments & Billing: Stripe, PayFast, and automated invoicing pipelines. Engineering Principles & Reliability Deterministic Writes: LLMs handle reasoning and drafting; deterministic code manages booking, money, and CRM database updates. State Management: Idempotent keys, object locks, and single-writer records prevent duplicate operations and race conditions. Failure Recovery: Explicit workflow states and outbox patterns allow step-level resumption rather than full job retries. Human-in-the-Loop: Maker/checker models enforce human review on high-risk actions, price updates, and customer-facing messaging. Ready to Scale Your Operations? Whether you need to unify Shopify, Salesforce, and Dialpad, automate complex Linnworks/Peoplevox warehouse pipelines, or deploy custom n8n multi-agent networks, letโ€™s connect. Send me a message to review your current architecture and mapping.

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Vapi developer hiring guide

Vapi is a voice AI platform that enables developers to build conversational voice agents with simple API integration. Businesses hire Vapi developers to implement intelligent phone systems, customer service automation, and voice-enabled workflows without building voice AI infrastructure from scratch. Whether you need a basic inbound call handler or a complex multiagent system, Vapi specialists can deploy production-ready voice AI in days instead of months.

What does a Vapi developer do?

A Vapi developer builds voice AI agents, integrates the Vapi API, and configures conversational workflows for businesses. They utilize Vapi's API-native approach to create intelligent phone systems that handle both inbound and outbound calls seamlessly.

Technical implementation involves setting up WebSocket connections, configuring custom function calling, integrating tools, and connecting to existing CRMs or databases. These developers ensure the voice agent can access real-time data and perform specific actions during calls.

Optimization and maintenance are also key Vapi developer responsibilities. Vapi specialists focus on latency optimization to achieve sub-500ms response times, set up A/B testing, configure multilingual support, and monitor system performance.

Common use cases for Vapi development include inbound customer support, outbound sales calls, appointment scheduling, order tracking, and technical support and customer service automation.

How to hire a Vapi developer on Upwork

Upwork provides a streamlined platform to connect with specialized Vapi developers who can bring your voice AI projects to life. The following steps will guide you through defining project needs, evaluating talent, and establishing clear contract terms.

Step 1: Craft a targeted job post

A well-crafted job post helps attract Vapi developers with the specific voice AI expertise your project demands. Outline your project goals, required technical skills, and expected deliverables.

  • Review this full-stack developer job description for starting ideas on content and format.ย 
  • Describe your voice AI use case and business requirements clearly.
  • Specify exact Vapi features needed, such as multilingual support, tool calling, or specific integrations.
  • Define performance requirements including expected call volume, latency targets, and uptime needs.
  • List must-have technical skills like Vapi API proficiency, WebSocket experience, and JavaScript and Python programming languages.

Consider using Upwork's Job Post Generator, powered by Umaโ„ข, Upwork's Mindful AI, to quickly draft a tailored Vapi developer job post that you can review and customize.

Step 2: Filter and evaluate candidates

A structured evaluation approach ensures you identify developers with Vapi expertise and successful voice AI implementations.

  • Use Upwork filters to narrow candidates by Vapi experience, voice AI skills, hourly rate, and location.
  • Review portfolios for voice agent implementations and Vapi-specific project examples.
  • Check for experience with integrations matching your tech stack.
  • Evaluate client feedback for indicators of strong communication and reliability.
  • Use Uma to conduct instant video interviews and provide candidate comparisons.

Step 3: Interview your top choices

Direct conversations reveal how candidates approach complex voice AI challenges. Review relevant full-stack developer interview questions to evaluate technical capabilities.

  • Ask about past Vapi implementation experience and how they solved specific challenges.
  • Discuss their approach to latency optimization and performance monitoring.
  • Inquire about integration strategies for connecting Vapi with your existing tech stack.
  • Request examples of complex function calling or multistep workflows they've built.
  • Schedule and conduct interviews within Upwork Messages and receive immediate transcripts and summaries.

Step 4: Agree on scope and begin work

Establishing well-defined project parameters in a formal contract protects both parties and creates accountability throughout the engagement.

  • Choose fixed-price contracts for defined projects with finite goals or hourly contracts for ongoing optimization.
  • Set clear milestones for larger implementations, progressing from design to deployment.
  • Define specific deliverables: e.g., functional voice agent, documentation, and team training.
  • Establish timeline and performance criteria for the final product.
  • Utilize Upwork's messaging and contract workroom for communication and project management.

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 a Vapi developer cost?

The cost of hiring a Vapi developer is similar to other full-stack developers at $16-$35 per hour. Rates vary depending on project complexity, integration scope, performance requirements, and engagement type.ย 

Review these typical cost ranges for Vapi developer projects commonly found on Upwork:

Basic voice agent setup

$500-$1,500/project

Entry-level to mid-level
  • Simple inbound voice agent with basic call routing
  • Single use case implementation
  • Vapi dashboard configuration

Custom voice workflow

$2,000-$5,000/project

Mid-level to senior-level
  • Multistep conversational flows with custom function calling
  • CRM integration and multilingual configuration
  • Testing and optimization

Enterprise voice solution

$8,000+/project

Senior-level or specialist
  • Complex IVR systems with multiple agent types
  • Advanced tool integration and SOC 2-compliant deployment
  • A/B testing framework and documentation

Ongoing voice AI management

$1,500-$4,000/month

Mid-level to senior-level
  • Performance monitoring and workflow optimization
  • Monthly analytics reporting and feature updates
  • Bug fixes and maintenance

Voice AI strategy and architecture

$5,000-$10,000+/project

Expert-level
  • Voice AI roadmap development and platform evaluation
  • Multiagent system design and team training
  • Governance planning

FAQs about Vapi developers

Frequently asked questions

Is hiring a Vapi developer worth it?

Yes, hiring a Vapi developer is worth it if you need production-ready voice AI quickly without building infrastructure from scratch. Vapi developers bring platform-specific expertise that accelerates deployment from months to days. They understand Vapi's API nuances, optimization techniques, and integration patterns. For enterprise deployments requiring compliance, complex integrations, or performance-critical applications, specialized Vapi expertise typically pays for itself through faster time to market and fewer implementation mistakes.

Do I need a Vapi subscription to work with a Vapi developer?

Yes, the Vapi developer will need access to your Vapi subscription account to build and test voice agents. You'll need an active subscription with appropriate API credentials. Most developers can work within your existing plan, though complex projects may require higher-tier features. Discuss your current Vapi plan during hiring to ensure compatibility.

What's the difference between a Vapi developer and a voice AI developer?

A Vapi developer specializes in Vapi's specific platform, API, and best practices, while a general voice AI developer may work with various platforms like Twilio, Voiceflow, or custom solutions. For Vapi-based projects, specialists typically deliver faster because they don't need to learn the platform.

How long does it take to build a voice AI agent with Vapi?

Simple voice agents built using Vapi can be functional in days, while complex systems may take weeks. A basic inbound call handler might take three to five days. Multistep workflows with CRM integration typically require two to three weeks. Enterprise solutions with compliance requirements can take one to two months, depending on scope and how well-defined your requirements are.