Hire the Best Chatbot Developers

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4.8/5
Based on 1,109 client reviews
Muhammad A.

Chichawatni, Pakistan

$35/hr
5.0
81 jobs

If your DMs go unanswered, your follow-ups are manual, and your CRM is a graveyard of cold contacts. You're losing clients to competitors who automated first. I build revenue-focused automation systems using ManyChat and GoHighLevel that turn Instagram engagement into booked appointments and paying clients, without hiring more staff or adding to your workload. Every system I deliver runs 24/7, qualifies leads intelligently, and hands off only ready-to-buy prospects to your sales process. With 5+ years building chatbot and CRM automation systems, I've delivered production-ready solutions for clients in Australia, the Philippines, Germany, the US, and the Middle East. I've worked across migration consultancies, real estate agencies, coaching businesses, and medical practices. My work isn't just technically clean. It's engineered around your conversion goals. ManyChat & AI Chatbot Automation ✔ AI-powered chatbot flows with smart lead qualification and dynamic response logic ✔ Full ManyChat AI setup: knowledge base, fallback handling, and intent routing ✔ Instagram DM funnels: comment-to-DM, story reply, follow-to-DM, and ad-to-DM ✔ WhatsApp, Messenger & TikTok automation across all major Meta platforms ✔ Multi-step nurture sequences from cold contact to ready-to-buy ✔ Keyword triggers, button flows, and conditional logic for personalized conversations ✔ Broadcast campaigns and re-engagement sequences to reactivate cold leads GoHighLevel CRM & Workflow Automation ✔ Full GHL CRM builds: pipelines, tags, custom fields, and contact segmentation ✔ Automated email and SMS sequences triggered by lead behavior and pipeline stage ✔ Appointment booking with confirmation, reminder, and no-show follow-up flows ✔ Payment integrations and third-party connections via Zapier, Make, and webhooks ✔ High-converting landing pages and funnel setups built inside GHL ✔ Snapshot builds, sub-account setup, and white-label configuration for agencies ✔ AI conversation bots inside GHL for 24/7 lead response and appointment booking Results From Real Clients Australian Migration Consultancy: Built a full ManyChat AI chatbot across Instagram, Facebook, and WhatsApp that qualifies visa applicants by type, routes them to the right flow, and books consultations automatically. Zero manual intervention required. Real Estate Agency, Philippines: Built and maintained a ManyChat knowledge base chatbot handling property inquiries, qualifying buyer intent, and capturing lead details directly into their GHL CRM pipeline. German-Language Coaching Business: Built a complete ManyChat funnel in German with qualifying sequences, lead magnet delivery, upsell paths, and KlickTipp email integration. Runs entirely on autopilot. I Work With ✔ Real Estate Agencies & Property Developers ✔ Coaches, Consultants & Course Creators ✔ Migration & Visa Services ✔ Clinics, Med Spas & Medical Practices ✔ E-commerce & Service-Based Businesses Why Clients Choose Me ✔ 100% Job Success Score, Top Rated on Upwork with 70+ completed projects ✔ Systems engineered for revenue outcomes, not just technical automation ✔ Instagram-safe flows with zero account suspension risk ✔ End-to-end expertise: ManyChat + GoHighLevel + Zapier + Make in one place ✔ 90-day post-launch support included on every project ✔ Clear scoping, clean delivery, no surprises mid-project Technologies ManyChat, GoHighLevel, Zapier, Make, n8n, WhatsApp Business API, Meta Ads Manager, Instagram DM, Messenger, TikTok, AI Integrations, Webhooks, KlickTipp, ActiveCampaign, HubSpot If you're ready to stop chasing leads manually and start running a system that works around the clock, let's talk.

  • Chatbot Development
  • ManyChat
  • HighLevel
  • Marketing Automation
  • Instagram Plugin
  • Chatbot Flow Design
  • AI Chatbot
  • Automated Workflow
  • Lead Generation Chatbot
  • Customer Service Chatbot
  • Chatbot Integration
  • CRM Automation
  • Facebook Messenger
  • Marketing Automation Strategy
  • Lead Management Automation
  • Email Automation
  • Zapier
  • Make.com
  • API Integration
  • Messenger Marketing
Muhammad S.

Burewala, Pakistan

$20/hr
5.0
15 jobs

Most businesses lose leads because website visitors don't receive an immediate response, calls and messages are missed after business hours, and follow-ups rely on manual effort. The result isn't just slower response times it's missed appointments, lost opportunities, and lost revenue. I build 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬, 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈, and 𝐀𝐈 𝐑𝐞𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐢𝐬𝐭𝐬 that help service businesses answer customer questions, qualify leads, book appointments, update CRMs, and automate customer communication across multiple channels. Whether you're a real estate team, agency, clinic, coach, or local service business, my goal is simple: help you capture more leads, improve customer response times, and reduce manual work with AI solutions designed around your business. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐅𝐨𝐫 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 ◉ 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 for customer support, sales, lead capture, and appointment booking across websites and messaging channels ◉ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 that automate customer communication, lead qualification, CRM updates, follow-ups, and business workflows ◉ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐀𝐈 𝐑𝐞𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐢𝐬𝐭𝐬 for inbound phone calls, lead capture, appointment booking, and human handoff ◉ 𝐂𝐑𝐌 & 𝐋𝐞𝐚𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 with HubSpot, GoHighLevel, Airtable, spreadsheets, and custom business systems ◉ 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩, 𝐒𝐌𝐒 & 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 for faster responses and better customer engagement ◉ 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐁𝐚𝐬𝐞 𝐀𝐈 trained on PDFs, websites, FAQs, and business documentation for accurate, business-specific answers ◉ 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 connecting AI with calendars, CRMs, email platforms, forms, phone systems, and third-party business software ◉ 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐝𝐦𝐢𝐧 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 for managing AI knowledge, conversations, leads, analytics, and business workflows 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 A successful AI project isn't just about connecting an LLM. It's about designing a complete workflow that fits your business and delivers measurable business results. Before building anything, I take time to understand how customer inquiries flow through your business, where leads are being lost, and which processes can be automated without disrupting your existing operations. ✅ AI solutions designed around your business goals not generic chatbots ✅ Voice AI, chat, SMS, and CRM working together as one customer communication system ✅ Human handoff for conversations that require personal attention ✅ Reliable CRM, calendar, and API integrations ✅ RAG-powered AI with business-specific knowledge ✅ Clear communication and transparent project delivery ✅ Scalable solutions built for long-term business growth 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 OpenAI, OpenAI Agents SDK, ElevenLabs, FastAPI, Python, LangChain, React, Twilio, n8n, Qdrant, Supabase, Airtable, REST APIs, Vector Databases, RAG, CRM Automation, Voice AI. 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐓𝐡𝐚𝐭 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐑𝐞𝐚𝐥 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 If you're looking for an AI developer who can build AI chatbots, AI agents, Voice AI, AI receptionists, CRM automation, and complete customer communication systems that help your business capture more leads and automate operations, I'd be happy to discuss your project and recommend the right solution.

  • AI Chatbot
  • AI Agent Development
  • ChatGPT API Integration
  • OpenAI API
  • Conversational AI
  • CRM Automation
  • Automation
  • Retrieval Augmented Generation
  • LangChain
  • Python
  • API Integration
  • FastAPI
  • Artificial Intelligence
  • Twilio API
  • Vector Database
  • n8n
  • ElevenLabs
  • Twilio
Fraz B.

Islamabad, Pakistan

$15/hr
5.0
39 jobs

𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮𝗻 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗰𝗮𝗻 𝘁𝗿𝘂𝘀𝘁 𝘄𝗶𝘁𝗵 𝗹𝗶𝘃𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄 - 𝗻𝗼𝘁 𝗮 𝗱𝗲𝗺𝗼 𝘁𝗵𝗮𝘁 𝗯𝗿𝗲𝗮𝗸𝘀 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝗿𝗲𝗮𝗹 𝘂𝘀𝗲𝗿𝘀 𝘁𝗼𝘂𝗰𝗵 𝗶𝘁. I built my first Voice AI agent 24 months ago. It worked perfectly in testing. Then a caller with a heavy accent asked a question while their dog barked in the background, and the whole thing collapsed. That project taught me something most AI developers learn too late: the demo is 10% of the work. The other 90% is everything that can go wrong - bad audio, CRM timeouts, users who say "um" fourteen times, edge cases nobody warned you about. Now I only build AI that handles the chaos. 𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 𝗤𝗮𝗹𝗶𝗳𝗔𝗜 takes 40+ real estate calls daily. Not test calls - actual leads, live conversations, 92% intent accuracy measured across thousands of interactions. Built on VAPI with ElevenLabs voice, GoHighLevel CRM sync, and Google Calendar booking. It qualifies buyers, handles objections, and hands off to human agents without dropping context. 𝗣𝗮𝗽𝘆𝗿𝘂𝘀 answers research questions across 15,000+ academic papers. Hierarchical chunking, hybrid search with pgvector, Cohere reranking, and cited answers. It says "I don't know" when retrieval confidence is low. Researchers trust it because it doesn't make things up. 𝗘𝗮𝘀𝘁𝗹𝗮𝘄 searches 300,000+ Pakistani court judgments. Elasticsearch for filtering, semantic search for intent, FastAPI backend serving 200+ concurrent users. Lawyers use it every morning. 𝗔𝗜 𝗙𝗿𝗮𝗻𝗸 generates legal documents with jurisdiction-aware retrieval. 700+ documents created with proper citations pulled from the right statutes. React frontend, Python backend, pgvector for legal precedent matching. 𝗦𝘁𝗮𝘆𝗦𝗾𝘂𝗶𝗿𝗲 handles hotel reception calls - booking inquiries, room availability, guest requests. Retell for voice, n8n workflows for automation, webhook integrations with property management systems. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 I take on Voice AI agents, RAG systems, and AI MVPs. I'm useful when you're past the "exploring AI" phase and need something deployed. Less useful if you're still figuring out whether AI makes sense - though I'm happy to tell you if it doesn't. Most of my projects are $2K–25K and take 2–6 weeks. I don't disappear mid-project, I document everything, and I build with handoff in mind so you're not dependent on me forever. 𝗧𝗲𝗰𝗵 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: VAPI, Retell, Twilio, Bland, ElevenLabs, OpenAI Whisper, OpenAI TTS, Deepgram 𝗥𝗔𝗚 & 𝗟𝗟𝗠𝘀: LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, Cohere, pgvector, Qdrant, Pinecone, Elasticsearch 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python, FastAPI, Node.js, TypeScript, PostgreSQL, Redis, Supabase 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, Next.js, Tailwind CSS 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: n8n, Make, Zapier, GoHighLevel, HubSpot, Google Calendar, Stripe, WhatsApp Business API 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: AWS, GCP, Vercel, Railway, Docker 𝗪𝗵𝗮𝘁 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘀𝗮𝘆 "Fraz is excellent to work with. Fast, thorough, and quick to accept feedback. His team is great, and we have loved working with them to create multiple software solutions. Fantastic Upwork contractor." — Matt Gray, Founder @ Hazard House If any of this sounds relevant, message me with what you're building. I respond within 30 minutes and I'll tell you honestly whether I can help.

  • Chatbot Development
  • Conversational AI
  • AI Chatbot
  • GPT Chatbot
  • AI Agent Development
  • AI Development
  • AI App Development
  • Full-Stack Development
  • LangChain
  • SaaS
  • SaaS Development
  • Natural Language Processing
  • Mobile App Development
  • Artificial Intelligence
  • Retrieval Augmented Generation
Talha H.

Lahore Cantt, Pakistan

$25/hr
4.7
71 jobs

I build AI agents, AI integrations, chatbots, automation systems, and AI SaaS platforms that run in production: LangChain, LangGraph, CrewAI, n8n workflows, RAG pipelines, and AI voice agents with Vapi and Retell AI. 𝗕𝗲𝗳𝗼𝗿𝗲 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮𝗻𝘆 𝗰𝗼𝗱𝗲, 𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗔𝗜 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝘀𝗼 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗮𝘁 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱, 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗰𝗼𝘀𝘁𝘀, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘁𝗼 𝘀𝗸𝗶𝗽. Most wasted AI budget comes from building the wrong thing first. The businesses I work with usually have the same problem: manual processes, disconnected tools, and leads or support tickets that sit untouched for hours. I replace that with systems that respond in seconds and run 24/7 without adding headcount. ➤ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ✔ AI Agents and Agentic Workflows: autonomous and tool-using agents, multi-agent systems, function calling, MCP integrations (LangChain, LangGraph, CrewAI) ✔ AI Integration: connect OpenAI, Claude, and Gemini to your existing tools, CRM, and internal systems so AI works inside the workflows you already run ✔ AI Automation: n8n, Make, and Zapier workflows to automate lead qualification, CRM updates, email follow-up, reporting, and business processes ✔ AI Chatbot Development: context-aware support and sales chatbots for web, WhatsApp, and Slack, connected to your knowledge base, CRM, and calendar ✔ AI Voice Agents: inbound and outbound calling, AI receptionists, appointment booking, lead qualification (Vapi, Retell AI, ElevenLabs, Twilio, Deepgram) ✔ RAG Systems: knowledge bases grounded in your real documents with semantic search and vector databases (Pinecone, pgvector, Qdrant, ChromaDB) ✔ AI SaaS Platforms: full-stack development with multi-tenant architecture, auth, Stripe billing, dashboards, and deployment included ✔ Backend and API Integration: Python, FastAPI, Node.js, PostgreSQL, Supabase, REST APIs, webhooks ➤ 𝗦𝗵𝗶𝗽𝗽𝗲𝗱 𝗪𝗼𝗿𝗸 ✔ NFC-linked commerce platform for music artists: artist storefronts, product discovery, sales and tap analytics dashboards ✔ Event ticketing platform: event creation, checkout, and payment flows with fintech integrations ✔ Production data warehouse on Amazon Redshift for a Berlin climate-fintech company, delivered across structured milestones ✔ AI recruiting platform: trigger-based candidate sourcing with LLM scoring and automated write-back to Google Sheets ✔ Multiple production automation pipelines connecting CRMs, payment systems, and marketing tools Every system ships documented, deployed, and maintainable by your team. No black boxes, no vendor lock-in. ➤ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ✔ AI and LLMs: OpenAI GPT-4o, Claude, Gemini, LangChain, LangGraph, CrewAI, LlamaIndex, MCP, prompt engineering, generative AI ✔ Voice: Vapi, Retell AI, ElevenLabs, Twilio, Deepgram, Whisper ✔ Automation: n8n, Make, Zapier ✔ Data: PostgreSQL, Supabase, Pinecone, pgvector, Redis ✔ Backend: Python, FastAPI, Node.js, REST APIs, webhooks, microservices ✔ Frontend and Cloud: React, Next.js, AWS, GCP, Docker, Vercel ✔ Integrations: HubSpot, GoHighLevel, Salesforce, Stripe, Google Calendar, WhatsApp Business API ➤ 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Scoping call to understand your workflow and bottlenecks AI roadmap and architecture before any code is written Fast working prototype, then production hardening Documentation and handoff so your team owns the system Tell me the process that costs your team the most time. I will tell you exactly how I would automate it and what it would cost. ➤ 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 ai agent development, ai agents, ai automation, ai integration, artificial intelligence, chatbot development, ai chatbot, chatgpt integration, generative ai, automation, workflow automation, n8n, make automation, zapier, agentic ai, ai voice agent, voice ai, conversational ai, prompt engineering, llm integration, rag, retrieval augmented generation, langchain, langgraph, crewai, multi-agent systems, mcp, openai api, gpt-4o, claude, gemini, vapi, retell ai, elevenlabs, twilio, deepgram, vector database, pinecone, python, fastapi, node.js, react, api integration, backend development, saas development, full stack development, business process automation, customer support automation, lead qualification, appointment booking

  • Chatbot Development
  • AI Bot
  • AI Chatbot
  • AI Platform
  • AI Development
  • AI Code Generator
  • AI Agent Development
  • AI Mobile App Development
  • AI App Development
  • AI Model Development
  • Machine Learning
  • Large Language Model
  • Prompt Engineering
  • LLM Prompt Engineering
  • Zapier
  • n8n
  • CRM Automation
  • Node.js
  • REST API
  • Firebase
Viktor A.

Baia Mare, Romania

$35/hr
5.0
42 jobs

Most voice AI demos break on the first real call. Mine don't. As an experienced AI developer and AI Engineer, I build systems that handle 50+ calls/night at $0.10 each — where customers genuinely can't tell it's not a person. 📩 Send your project brief - I'll reply within 2 hours with a concrete action plan. 🏆 Why work with me? 🥇 Technical Reviewer for Manning Publications (Efficient AI in Practice & Enterprise RAG). 🥇 Winner of the Enterprise RAG Challenge. 🥇 Top-Rated AI Developer on Upwork with a focus on ROI. 🥇 Expert LLM Engineer specialising in hallucination-free RAG systems. Core Specialisations ❇️ AI Voice & Chatbot Development As a specialised AI developer, I build full voice pipelines: Deepgram/Whisper → GPT-4/Claude → ElevenLabs. Expert in chatbot development and conversational business logic for WhatsApp, Telegram, and Web. I work as a dedicated chatbot developer integrating systems with ManyChat, Botpress, and OpenAI API. Modern chatbot development setups to act as a 24/7 sales engine and support lead. ❇️ AI Agent Architecture & Autonomous Workflows I am an AI developer who excels in AI Agent architecture using LangGraph and CrewAI. Multi-AI Agent systems for lead generation, deal tracking, and complex CRM automation. Autonomous AI Agent workflows connected to Slack, Shopify, and enterprise backends. Every AI Agent I build is designed to scale and optimise business processes without increasing headcount. ⚙️ LLM Engineering & Advanced RAG As a senior LLM Engineer, I solve the "hallucination problem" for modern enterprises. Advanced LLM pipelines designed with a focus on Vector Databases (Pinecone, Weaviate, Milvus). Custom fine-tuning, prompt engineering, and production-ready LLM infrastructure. 🛠️ FULL-STACK TECH STACK & DATA SCIENCE As an AI Developer: Python, FastAPI, Docker, AWS, Asyncio. As a Python Developer: LangChain, LlamaIndex, LangGraph, PyTorch. As a Web Developer: Frontend frameworks, responsive platforms, and API integration. As a Data Scientist: Advanced data processing, analytics pipelines, and model evaluation. ❇️ WHAT YOU GET WITH EVERY PROJECT When you hire me as your AI developer, you get production-ready, scalable, and cleanly documented code. As a professional Python Developer, I ensure your system is robust, while my background as a data scientist guarantees that your data is processed with maximum analytical precision. Whether it's complex chatbot development for support or an AI Agent workflow for outbound sales, I handle the full CI/CD deployment on AWS. As a skilled web developer and agentic ai developer, I ensure your user interfaces are as smooth as the underlying AI models. By combining the precision of a data analyst with the agility of a Python full stack developer, I create applications that are data-driven. Every Python full stack developer setup I deploy is fully integrated with analytical tools, meaning a data analyst or data scientist on your team can easily track performance. 🌐 EXPERTISE ACROSS THE spectrum Whether you need a high-performance chatbot developer to automate customer service or a senior LLM expert to architect complex RAG systems, I deliver code that scales: For Enterprises: I act as a Lead Python Developer, agentic AI developer, and machine learning consultant, building AI agent automation workflows. My skills as a data scientist extract valuable insights from your historical enterprise data via AI agent RAG pipelines. For Startups: As a python full stack developer and AI agent builder, I focus on rapid deployment of AI sales agent and AI voice chatbot solutions. I leverage modern frontend and backend practices as a capable web developer building AI agent SaaS products. For Deep Tech & Analytics: My work as a data scientist and machine learning specialist ensures your systems are backed by solid statistics. From predictive modelling as a data analyst to building generative AI agent and AI voice assistant systems, I cover all your data needs. From simple Python Developer scripting to AI agent creation, my goal is Enterprise AI solutions with clear ROI. If you need a Senior Python Developer and AI agent expert who understands business logic and architecture, let's connect. As a web developer and chatbot developer, I build digital ecosystems including WhatsApp AI chatbot and AI phone agent systems. My machine learning pipelines and python full stack developer practices ensure your software is future-proof. This blend of python full stack developer and AI agent N8N skillset makes me the ideal partner, combining a data analyst, machine learning engineer, and AI call agent creator. 👉 Send me your project brief — I’ll get back to you within 2 hours with a free AI visibility audit. Last update: 01.07.2026

  • Chatbot Development
  • Python
  • Artificial Intelligence
  • AI Agent Development
  • AI Development
  • AI App Development
  • Machine Learning
  • LLM Prompt Engineering
  • Deep Learning
  • Natural Language Processing
  • AI Chatbot
  • OpenAI API
  • Twilio
  • Data Science
  • LangChain
  • API Integration
  • AI Implementation
  • Claude
  • Twilio API
  • API
Atul K.

Noida, India

$30/hr
4.9
179 jobs

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar

  • AI Bot
  • AI Chatbot
  • AI Development
  • AI Text-to-Speech
  • AI Text-to-Image
  • AI Speech-to-Text
  • AI App Development
  • AI Agent Development
  • AI Mobile App Development
  • AI Image Generation
  • AI Implementation
  • AI Platform
  • AI Model Integration
  • AI Security
  • AI Trading

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Chatbot developer hiring guide

Chatbot developers design and build AI-powered conversational tools that improve customer support, streamline lead generation, and boost user engagement. From rule-based FAQ bots to advanced generative AI assistants, these specialists combine technical expertise in natural language processing (NLP) and machine learning to create solutions that save time and increase efficiency. This guide covers what chatbot developers do, typical project costs, and how to evaluate and hire the right professional for your needs.

What does a chatbot developer do?

A chatbot developer designs and builds AI-driven chatbots that simulate human conversations through conversational AI and natural language understanding (NLU). These professionals use tools like ChatGPT, Botpress, and Dialogflow, or build custom frameworks using large language models (LLMs), to automate interactions across social media, websites, and messaging platforms like WhatsApp and Slack.

Chatbot developers create custom solutions tailored to business needs, such as customer support automation or appointment scheduling. They integrate chatbots into existing customer relationship management (CRM), application programming interface (API), or workflow systems to improve the customer experience. Beyond initial development, they fine-tune AI models, design conversation flows, and ensure seamless handoffs to human agents.

How to hire a chatbot developer on Upwork

Identifying the right chatbot developer involves more than evaluating coding skills; it requires finding a partner who understands your customer journey and can translate business goals into seamless conversational experiences. Follow these steps to find and hire a qualified chatbot developer for your project.

Step 1: Post a job

A well-crafted job post is your first opportunity to attract chatbot developers with the right technical skills and industry experience. The more specific you are about your project requirements, the more likely you are to receive proposals from qualified candidates.

  • Specify the type of chatbot you need, i.e. a customer support bot, AI assistant, or lead generation bot

  • Mention the tools, platforms, or APIs (e.g., Dialogflow, Azure, WhatsApp) in your current workflow

  • Clarify whether the project involves generative AI or no-code builders

To draft a tailored job post quickly, try the Job Post Generator powered by Uma™, Upwork's Mindful AI. Describe your needs in a few sentences, and Uma will craft a post in seconds. You can also review job description templates to see what information a post might include.

Step 2: Evaluate candidates

As you receive proposals, you’ll want to take a systematic approach to reviewing them that allows you to identify the technical qualifications and past results of a candidate, as well as their ability to collaborate well with your team.

  • Have Uma give instant interviews and side-by-side comparisons

  • Use Upwork’s filters to find candidates by rate, location, and experience

  • Read proposals to verify that candidates have understood your challenges and either have a plan to move you forward, or are asking informed questions

  • Check profiles for certifications, work history, and skills with systems and workflows you need

  • Review portfolios for case studies and to verify that candidates have successfully completed projects of similar size and scope to yours

Step 3: Interview your top choices

Quick video interviews allow you to ask any questions you have left for your top candidates, and to get a feel for what a collaboration with them might be like. 

  • Schedule and conduct interviews within Upwork messaging to get instant transcripts and summaries from Uma

  • Discuss problem-solving and how they handle ambiguous user inputs or data privacy requirements

  • Review workflows and talk about how to automate handoffs between bot and human agents

  • Evaluate their communication skills and how clearly they explain technical concepts

If you’re unfamiliar with interviewing or working with freelancers, you can review common interview questions for freelancers. For more technically minded ideas, you can check out 20 AI developer interview questions and answers or machine learning engineer interview questions.

Step 4: Agree on scope and begin work

Before the person you choose can begin work, you’ll need to have a clear contract in place. Contracts protect both parties and help collaborations be successful from beginning to end.

  • Use Upwork’s tools and services for creating and managing contracts, and processing payments

  • Choose fixed-price contracts for projects with clear deliverables, such as developing a basic FAQ bot or rule-based flow

  • Set milestones to separate large projects into manageable deliverables, such as data mining and processing, bot training, and final delivery

  • Choose hourly contracts for projects that will be ongoing, such as regular updates or fine tuning 

Once the contract starts, be sure to have a quick onboarding and to give the expert everything they need to succeed, including the necessary access to project management tools.

How much does hiring a chatbot developer cost?

Chatbot developers on Upwork typically charge $30-$61 per hour, but the total cost of hiring a chatbot developer is determined by market demand and the scope and complexity of the project, as well as by the skill and experience of the developer. The following chart lists typical prices for projects commonly found through Upwork.

Small project

$1,000-$5,000/project

Entry- to mid-level
  • Basic FAQ bots
  • WhatsApp chatbots
  • Simple rule-based flows
  • Prototype development

Mid-sized project

$10,000-$40,000/project

Mid- to senior-level
  • NLP-enabled chatbots
  • CRM integrations
  • Slack/Teams integration
  • Conversation design

Large project

$40,000-$150,000+/project

Senior-level/specialist
  • Full conversational AI systems
  • LLM fine-tuning
  • Analytics dashboards
  • Multi-channel deployment

Frequently asked questions

Is hiring a chatbot developer worth it?

Yes, hiring a chatbot developer is worth it — especially if you want to automate customer conversations and streamline lead generation. Chatbots can reduce customer support costs by around 30% while enhancing user satisfaction.

What skills should I look for in a chatbot developer?

Look for developers with strong natural language processing (NLP), Python, and API integration skills. Familiarity with frameworks like Dialogflow, Rasa, or Botpress is essential. The best developers also understand conversation design, prompt engineering, and database integration.

What are the main types of chatbots?

There are four main types of chatbots: rule-based bots, AI-driven chatbots, voice-enabled chatbots, and hybrid chatbots. Rule-based bots follow scripts, while AI-driven bots use machine learning and NLP to analyze context. Hybrid bots combine both, and voice chatbots integrate with assistants like Alexa.

What platforms can chatbot developers build for?

Developers can build for platforms like Slack, Microsoft Teams, Facebook Messenger, Telegram, WhatsApp, and mobile apps. Many also integrate chatbots directly into websites or CRMs for centralized communication.

How long does a typical chatbot development project take?

The timeline to build a chatbot varies by complexity. A simple rule-based FAQ bot might take 2-4 weeks, while an AI-powered bot with CRM integration typically requires 6-12 weeks. Enterprise-grade chatbots with advanced NLP and custom training can take 3-6 months.

What industries commonly hire chatbot developers?

Chatbot developers are in high demand across e-commerce, healthcare, financial services, and customer service sectors. E-commerce uses them for product recommendations, healthcare for appointment scheduling, and finance for fraud alerts and account inquiries.

What should I include in my chatbot developer job description?

In the job description, outline your chatbot's purpose, target users, and required integrations. Include preferred frameworks, API connections, and AI models (like ChatGPT). Be upfront about project scope and post-launch support needs.

Can I use AI tools instead of hiring a chatbot developer?

AI tools can build basic bots, but custom projects need human expertise. Developers handle back-end setup, workflow automation, and fine-tuning AI models to match specific business goals, which automated platforms often cannot replicate.