Hire the Best Bot Developers
Noida, India
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
Douz, Tunisia
🚀 Full-Stack (MERN/Django) who ships production web apps, APIs & automations , fast and clean. I build Tlg bots, reliable web scrapers (Python/Go), and AI-powered features (LLM integration, prompt engineering, ML). CI/CD DevOps so deploys are boring & repeatable. Hi, I turn vague ideas into shipped products, or jump into messy codebases and make them stable, secure, and maintainable. Delivered for clients in USA , Germany, Niger, Emirates, France & Indonesia . What I build : 🧩 Web apps & dashboards : React/Next + Node (MERN) or Django/DRF 🔐 Auth & payments : JWT/OAuth, RBAC, Stripe subscriptions & webhooks 🔌 APIs & integrations : REST/GraphQL, webhooks, Twilio, email, maps, CRMs 🤖 Tlg bots : commands, webhooks, admin tools, logging, payments 🕸️ Scraping/ETL : Playwright/colly, rotating proxies, retries (compliance-first) 🧠 AI & ML : LLM integration, prompt design, RAG/embeddings, basic ML pipelines 🚢 DevOps : Docker, CI/CD (GitHub Actions), monitoring; deploys to Vercel/AWS/Render How I work : 🗺️ Clear plan day one (scope, milestones, success criteria) 🔁 Small milestones, daily updates + short Looms ✅ Tested code + clean docs (Swagger/Postman/README) and smooth handover
- Bot
- Full-Stack Development
- Angular
- React
- MERN Stack
- Web Application Development
- Machine Learning
- AI Model Integration
- Algorithm Development
- Automation
- Telegram API
- Discord Bot Development
- Data Management
- Data Extraction
- Payment Gateway
Fort McMurray, Canada
I 𝗖𝗢𝗡𝗦𝗨𝗟𝗧 first, then 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗘. If you already know 𝒆𝒙𝒂𝒄𝒕𝒍𝒚 what needs to be automated and how, we can jump straight into execution. But in most cases, that’s not where the real value lies. I prefer starting with a call, proper discussion - understanding your current (manual) workflows, identifying gaps, and mapping out a clear, phased roadmap. Only then do we move into execution. Because here’s the truth: Most developers skip this step… and end up causing delays, rework, and unnecessary complexity. I 𝒅𝒐𝒏’𝒕. _____________ Are your leads slipping through the cracks? Spending hours on tasks that should run themselves? I help businesses like yours automate operations using powerful no-code AI tools, such as n8n, Make com, Zapier, and GoHighLevel (GHL), combined with cutting-edge AI like GPT-4, ElevenLabs, Vapi, Retell AI and ManyChat. The result? Smart systems that generate leads, follow up, and close more deals while you sleep, and customer service that runs on autopilot, 24/7! DevOps Since 2021, I’ve built high-converting AI automations and AI integrations for real estate agencies, healthcare providers, travel companies, recruiters, and online service businesses. I’ve deployed: ✅ End-to-end CRM workflows with GoHighLevel AI ✅ AI chatbots and WhatsApp agents powered by GPT & n8n ✅ AI Lead capture and outreach pipelines with n8n + Make ✅ Voice-enabled assistants using Retell AI, Vapi, and ElevenLabs ✅ AI Auto-reply and support bots integrated with websites and Facebook ✅ WhatsApp follow-up and qualification AI bots DevOps ✅ Lead-to-appointment automations synced with calendars and CRMs 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: - evolveworkforcesolutions com – AI scheduling and follow-up for recruiting - klikdigital nl – Dutch AI Voice Receptionist for lead follow-up and nurturing - oxygenbar360 com – real-time WhatsApp chatbot for every booking Healthcare practice – multilingual AI voice agent for triage & appointment setting Whether you need a one-time workflow, a scalable AI system, or ongoing automation support, I’m here to deliver results fast, clean, and fully documented. 🛠 Available for: Workflow Automation (n8n, Make, Zapier, GHL) AI Agents & GPT-4 Integrations Voice Bots (Vapi, ElevenLabs, Retell) WhatsApp, SMS & Web Chatbots CRM Setup & Automation (GHL, HubSpot, Pipedrive) Let’s build a system that works while you don’t have to.
- Tech & IT
- AI Agent Development
- AI Chatbot
- n8n
- AI Bot
- Make.com
- ChatGPT
- Twilio
- Automation
- API Integration
- AI Consulting
- AI Builder
- ManyChat
- Zapier
- ElevenLabs
Lahore, Pakistan
I help startups, enterprises, and innovators unlock the true potential of AI and AWS Cloud by designing, building, and scaling intelligent solutions. With over 16 years of experience in software engineering, cloud consulting, and AI-driven development, I specialize in Agentic AI, AI Agents, Generative AI, and AWS architectures that solve real business challenges. My Expertise: Agentic AI & AI Agents: I design and deploy autonomous AI systems that can reason, plan, and execute tasks with minimal human intervention. From customer support agents to knowledge assistants and process automation, I help companies bring agent-driven intelligence into their workflows. Generative AI Applications: I build chatbots, RAG pipelines, text-to-speech systems, and document intelligence solutions using Amazon Bedrock, LangChain, and LLMs (GPT, Claude, etc.). My focus is on practical AI that drives productivity and growth. AWS Cloud Architecture: As an AWS Solutions Architect, I design and implement cloud-native solutions using EC2, S3, Lambda, SageMaker, EKS, Glue, Athena, and more. I ensure your systems are secure, cost-optimized, and scalable. AI/ML on AWS: From training custom models on SageMaker to deploying scalable inference endpoints, I help businesses leverage AWS’s AI ecosystem to stay ahead of the curve. End-to-End Delivery: I follow a structured approach—requirements discovery, architecture design, development, DevOps pipelines, and long-term maintenance. My goal is to deliver production-ready solutions that clients can rely on. Why Work With Me: Proven experience delivering AI and AWS projects across industries like real estate, finance, compliance, IoT, and healthcare. Strong background in both technical execution and business impact, making me equally comfortable working with CTOs and business leaders. Deep knowledge of AI agents, multi-agent orchestration, and AWS AI/ML services that sets me apart from generalist developers. A commitment to building long-term client relationships through clear communication, milestone-based delivery, and measurable results. If you are looking for a partner who can combine cutting-edge AI innovation with robust AWS cloud practices, let’s collaborate to turn your vision into a scalable, intelligent solution. AI Development, Agentic AI, AI Agents, Autonomous AI, Generative AI, Conversational AI, AI Chatbot Development, AI Automation, RAG (Retrieval Augmented Generation), LangChain, Amazon Bedrock, AWS Solutions Architect, AWS AI/ML, AWS SageMaker, AWS Lambda, AWS EC2, AWS S3, AWS Glue, AWS EKS, AWS CloudFormation, Cloud Engineering, Cloud Migration, DevOps on AWS, Machine Learning, Deep Learning, Natural Language Processing (NLP), LLM (Large Language Models), Voice AI, AI Integration, AI Workflow Automation
- AI Bot
- AI Agent Development
- AI App Development
- AI Model Integration
- AI Model Development
- AWS Glue
- AI Image Generator
- AI Video Generator
- AI-Generated Voice-Over
- Web Application Development
- Mobile App Development
- Amazon Bedrock
- Amazon SageMaker
- Amazon Lex
- Amazon Comprehend
Bengaluru, India
Overview: You have an AI product idea — or an existing product that needs AI built into its core. You need someone who won't just write code, but make the hard architectural decisions that determine whether your product scales or breaks at 10,000 users. That's what I do. I've shipped 5 AI-native products in the last 2 years, each running in production with real users today. Not prototypes. Not demos. Production systems handling real data, real money, and real compliance requirements. Recent results: → Built an AI conversation intelligence platform that analyzes calls across 19 dimensions in real-time — now processing hundreds of conversations daily for a US-based SaaS company → Delivered an AI medical education platform with 11 LLM-powered endpoints, integrating clinical evidence from randomized controlled trials — used by healthcare professionals for continuing education → Shipped an AI learning platform with 9 specialized AI pipelines — 500+ study hours saved for users within months of launch → Architected an AI-powered industrial support system with vector search and multi-tenant isolation — deployed across operator, technician, and admin roles for a European client What makes me different from other AI developers: Most developers bolt AI onto existing products as a feature. I architect systems where AI is a core capability — from database schema to user experience. Every project I deliver includes production infrastructure (CI/CD, monitoring, error tracking), not just application code. I also run a team at Growth Loops Technology, which means I can scale up when your project needs it — without you managing multiple freelancers. I'm the right fit if you need: → An AI-native product built end-to-end (backend, AI pipelines, deployment) → LLM integration done properly (structured output, RAG, multi-stage pipelines) → A senior architect who can own technical decisions and communicate clearly → Someone who ships on schedule and writes code that holds up in production Technical depth (for the engineers reading this): Backend: NestJS, Node.js, TypeScript, Python, FastAPI, Django AI/ML: GPT-4o, Claude, LangChain, LangSmith, Whisper, AssemblyAI Data: PostgreSQL, Redis, BullMQ, Pinecone, OpenSearch, Meilisearch Infra: Docker, GitHub Actions, AWS, Cloudflare R2, Sentry 15+ years of software engineering. Every project delivered with authentication, async job processing, multi-tier caching, and production monitoring baked in from day one.
- API Integration
- Python
- JavaScript
- Flask
- PostgreSQL
- React
- Spring Boot
- Amazon DynamoDB
- GPT-3
- Django
- Full-Stack Development
- Azure OpenAI Service
- AI Model Development
- AI Bot
- Microservice
San Diego, California
🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face
- Artificial Intelligence
- Machine Learning
- Data Extraction
- ETL Pipeline
- Data Analysis
- Large Language Model
- AI Agent Development
- AI Bot
- Microsoft Azure
- Data Science
- Computational Neuroscience
- Python
- MLOps
- Generative AI
- Prompt Engineering
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Bot developer hiring guide
Bot developers create automated software applications that handle everything from customer conversations to complex trading algorithms. Whether you need a customer service chatbot, a Discord bot for community management, or automation bots for business workflows, experienced developers can build solutions that save time and help scale your operations.
What does a bot developer do?
A bot developer creates software applications designed to automate tasks traditionally handled by humans. These developers work with artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to build bots capable of engaging in human-like conversations and executing complex commands.
Bot developers help ensure these automated applications can perform various tasks, from answering customer queries to processing transactions. The development process includes integrating the bot with messaging platforms, setting up conversational logic, and continuously refining its ability to interpret and respond to user inputs accurately.
Key bot developer responsibilities include:
Designing solutions that leverage NLP and text analytics to create intelligent conversational experiences
Integrating bot solutions with platforms including WhatsApp, Facebook Messenger, Slack, and website chat widgets
Analyzing conversation data to identify user intent and improve bot responses
Testing bot functionality, debugging code, and resolving technical issues
Collaborating with business teams to develop automation solutions
Maintaining and enhancing bot platforms to meet evolving business needs
Bot developers typically work with AI platforms like Microsoft Azure Cognitive Services, Google Dialogflow, IBM Watson, and programming languages including Python, JavaScript, C++, and frameworks like TensorFlow or PyTorch.
How to hire a bot developer on Upwork
Upwork makes it easy to find and connect with bot developers worldwide. Taking a strategic approach to each stage helps you secure a successful partnership.
Step 1: Post a job
Your job posting is the first point of contact with potential bot developers. A comprehensive listing saves time by filtering out mismatched candidates and attracts top-tier talent.
Clearly articulate what you need your bot to accomplish (e.g., customer support, lead generation, trading automation)
List all deliverables including bot development, platform integration, testing, and deployment
Specify required technical skills such as Python, JavaScript, NLP frameworks, or platforms like Dialogflow
Review this AI developer job description for ideas on content and format
With the Job Post Generator, powered by Uma™, Upwork's Mindful AI, you can describe what you need and Uma will draft a job post tailored for bot developers that you can review and customize.
Step 2: Evaluate candidates
Thorough candidate evaluation requires an assessment of technical qualifications and demonstrated results from previous projects.
Use Uma to conduct instant video interviews and provide shortlists with side-by-side comparisons
Assess the shortlist of promising candidates based on qualifications and relevant experience
Examine portfolios for similar bot development projects
Review client feedback and Job Success Scores
Look for developers with experience in your specific industry or bot type
Step 3: Interview your top choices
Interviews provide an opportunity to assess how candidates think through technical challenges and communicate complex concepts.
Schedule and conduct interviews within Upwork Messages, where you can receive transcripts and summaries to compare responses.
Use targeted interview questions to evaluate candidates’ communication skills and technical understanding
Ask them to explain their approach to building your specific bot type
Discuss testing, debugging, and quality assurance processes
Verify their understanding of data privacy and security
Step 4: Agree on scope and begin work
Establishing well-defined project parameters in a formal contract before development begins protects both parties and creates a framework for measuring progress.
Decide on a fixed-price contract for a project with finite deliverables or hourly for ongoing or exploratory support
Define project milestones and payment schedules tied to specific deliverables
Establish regular check-ins and agree on documentation requirements
Clarify ownership rights and maintenance arrangements
Upwork's messaging and contract workroom enhance communication throughout your engagement. Identity verification, payment protection, and project funds provide security for both parties.
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 bot developer cost?
The cost of hiring a chatbot developer on Upwork generally ranges from $30 to $61 per hour. Rates vary based on project complexity, required features, integration needs, and experience level.
An experienced bot developer may command higher fees but also work faster and deliver higher-quality work. The right option depends on your specific project requirements. Consider these typical costs for bot projects commonly found on Upwork:
Basic FAQ chatbot
$1,000-$3,000 /project
- Rule-based conversation flows
- Single platform integration
- Predefined response scripts
Customer support bot
$3,000-$8,000 /project
- Multichannel deployment
- CRM integration
- Basic NLP capabilities
AI-powered chatbot
$8,000-$20,000 /project
- Advanced NLP and ML
- Custom training
- Analytics dashboard
Trading or automation bot
$15,000-$50,000+ /project
- API integrations
- Real-time data processing
- Custom algorithms
Enterprise-scale bot
$50,000-$150,000+ /project
- Multisystem integration
- Compliance and security
- Scalable architecture
FAQs about bot developers
Frequently asked questions
Is hiring a bot developer worth it?
Hiring a bot developer is often well worth the investment for businesses looking to automate repetitive tasks or improve customer engagement. Professional developers bring expertise in AI, NLP, and integration that goes beyond DIY chatbot builders. Businesses often report that well-designed bots can handle 60-80% of routine customer queries, freeing human staff for complex issues. However, simpler needs might be better served initially by no-code platforms.
What types of bots can bot developers create?
Bot developers can create customer service chatbots, trading bots for financial markets, Discord and Telegram bots for community management, web scraping bots, automation bots for business workflows, and AI-powered assistants integrated with CRM or project management systems.
How long does it take to develop a bot?
Bot development timelines vary based on complexity. A basic rule-based chatbot may take one to three weeks, while a mid-level customer service bot with CRM integration typically requires one to two months. Advanced AI-powered bots can take three to six months or longer.
What skills should I look for in a bot developer?
When hiring a bot developer, look for candidates with strong programming skills in Python, JavaScript, or Node.js; experience with NLP frameworks like Dialogflow or Rasa; and proven ability to integrate APIs. For AI-powered bots, seek expertise in machine learning libraries such as TensorFlow or PyTorch.
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