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Vivekjyoti B.

Bengaluru, India

$89/hr
4.9
116 jobs

Once an Astrophysics Researcher, now a 3× AI Founder. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact ✅ AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus ✅ Branify — 50,000+ live users within one month of launch ✅ Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline ✅ Global Clients — US, UK, UAE, GCC, Australia, and India ✅ 70%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If ✔ Your business is doing minimum $1million in ARR ✔ You already have operations running — 20 people team, leads, data, customers, or workflows ✔ You want to implement AI into real business processes ✔ You need scalable, production-grade systems ✔ You care about outcomes, speed, and execution Not a Fit If ✖ You are exploring AI just to try it ✖ Price matters more than business outcome ✖ There is no clear use case or objective ✖ You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

  • Artificial Intelligence
  • Machine Learning
  • Python
  • AI Consulting
  • AI Development
  • iOS Development
  • Flutter
  • Deep Learning
  • AI Trading
  • AI Chatbot
  • AI Marketplace
  • AI App Development
  • AI Mobile App Development
  • AI Product Management
  • AI Agent Development
Atul K.

Noida, India

$30/hr
4.9
170 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
Mustapha S.

Muscat, Oman

$25/hr
5.0
41 jobs

✋ 𝗡𝗲𝗲𝗱 𝗰𝘂𝘀𝘁𝗼𝗺 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝘁𝗼 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗮𝗻𝗱 𝗯𝗼𝗼𝘀𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆? With over 10 years of experience in Python, Zapier, n8n, and Make.com, I offer 𝗙𝗥𝗘𝗘 𝗖𝗢𝗡𝗦𝗨𝗟𝗧𝗔𝗧𝗜𝗢𝗡 to ensure your vision is perfectly aligned with the final product—completely risk-free! Whether you're building AI Agents, automating processes with RPA, or creating seamless API integrations, I'll help bring your automation ideas to life with precision and expertise. 😊 𝗛𝗼𝘄 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂: • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Build powerful workflows using Zapier, n8n, Make.com, and Python scripting. • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Create intelligent agents powered by LLM and ML technologies for enhanced productivity. • 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗦𝗰𝗿𝗮𝗽𝗽𝗶𝗻𝗴: Connect systems seamlessly and extract data using Python, Selenium, and custom APIs. • 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Implement email marketing, lead generation, and Gohighlevel integrations. • 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Design, code, test, and deploy automation systems—hassle-free. • 𝗔𝗶𝗿𝘁𝗮𝗯𝗹𝗲 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Organize and automate data flows with powerful database solutions. • 𝗙𝗿𝗲𝗲 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝗢𝗳𝗳𝗲𝗿: Test before committing to ensure it meets your expectations. 🏆 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗔𝗿𝗲 𝗦𝗮𝘆𝗶𝗻𝗴: ⭐⭐⭐⭐⭐ "Mustapha is exceptional. He delivered the project on time and with amazing code quality. He even suggested changes that we didn't think of before. Overall very satisfied with the delivery. 100% recommended." - Talib Mukadam ⭐⭐⭐⭐⭐ "Mustapha did a great job on my Chrome extension and web app. I had used two developers before, and they failed to deliver. Mustapha came with energy and had great ideas; he implemented new ideas and made my project look, feel, and function much better. I have already started a second project with him because I'm confident in his skills. I've worked with dozens of developers on different platforms and Mustapha is one of the best." - James Smith ⭐⭐⭐⭐⭐ "Very good developer! Created a custom petition system for us using AI and Microsoft Azure integrations. Fantastic experience." - Thor Magnusson ✨ 𝗟𝗲𝘁'𝘀 𝗚𝗲𝘁 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗬𝗼𝘂𝗿 𝗙𝗥𝗘𝗘 𝗖𝗢𝗡𝗦𝗨𝗟𝗧𝗔𝗧𝗜𝗢𝗡 𝗧𝗼𝗱𝗮𝘆! Message me now, and I'll help turn your vision into a game-changing automation solution—all risk-free and tailored to your needs. Don't wait—let's make it happen! 🎯 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: ● Python ● Automation (Zapier, n8n, Make.com) ● AI Agent Development ● API Integration & Scrapping ● Airtable & Database Management ● RPA & Workflow Automation ● ML & LLM Integration ● Selenium & Web Scrapping ● JavaScript & Web Development ● Gohighlevel & Marketing Automation ● Email Marketing & Lead Generation ● Twilio & Vapi Integration ● Scripting & Custom Solutions ● AI & Machine Learning ● Integration Solutions Keywords: Automation, Python, AI Agent, Zapier, n8n, Make.com, API Integration, Scrapping, Airtable, RPA, ML, LLM, Lead Generation, Marketing Automation, Web Development.

  • n8n
  • Automation
  • AI Agent Development
  • JavaScript
  • Make.com
  • API Integration
  • Zapier
  • Python
  • Web Scraping
  • Airtable
  • Robotic Process Automation
  • ChatGPT
  • AI Model Integration
  • AI App Development
  • Browser Automation
Abhishek G.

New Delhi, India

$25/hr
5.0
87 jobs

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

  • WordPress
  • React
  • AWS Lambda
  • Node.js
  • Google Cloud Platform
  • AWS CloudFront
  • MongoDB
  • AWS Cloud9
  • AWS CloudFormation
  • Amazon ECS for Kubernetes
  • NIST Cybersecurity Framework
  • NIST SP 800-53
  • Amazon Kinesis Video Streams
  • AI Agent Development
  • LLM Prompt Engineering
Hamid A.

Rawalpindi, Pakistan

$20/hr
5.0
5 jobs

🧑‍💻 Worked with Google and NVIDIA developers on AI projects ⭐ Top Rated AI Engineer 🔁 6+ years of AI experience 🥈 MS Data Science (Silver Medalist) 🛠️ Research depth + real-world delivery 🤝 Clear communication, clean code, long-term collaborative mindset 🔹 Open Source Credibility Worked with Google and NVIDIA developers on advanced AI model implementations. Experienced in building high-quality, production-level code aligned with industry engineering standards. 🔹 Solving Your GenAI Challenges Most AI projects stall between a proof-of-concept and production. If you are stuck on any of these roadblocks, I can help: → Hallucinations: "Our chatbot gives unreliable or fabricated answers." → Unpredictable Workflows: "The AI agent cannot follow business logic consistently." → Poor Context: "Our RAG retrieval quality is missing the right data." → High Latency: "Voice assistants feel laggy, slow, and unnatural." → Scaling Issues: "The system works locally but breaks under production loads." → Cost Explosions: "LLM API costs and latency are becoming unsustainable." 🔹 AI Solutions I Build → AI Agents & Workflow Automation: LangChain/LangGraph agents for task execution, routing, and business workflows. → RAG & Knowledge Assistants: Retrieval systems with embeddings and vector databases for accurate domain-specific answers. → Voice AI Systems: Real-time STT/TTS pipelines with streaming for natural voice interactions. → Fine-Tuned LLMs: Custom models trained for domain-specific reasoning, classification, and generation tasks. → Computer Vision Applications: Real-time object detection, tracking, segmentation, and counting systems using video analytics. 📈 Real-World Impact → Built an AI grading system processing 150K+ evaluations daily → Reduced 40% customer support workload using AI-powered RAG chatbots → Developed healthcare AI assistants using LangGraph agents and medical FHIR R4 data → Improved RAG retrieval quality using multi-query optimization → Reduced latency in voice systems using streaming pipelines → Increased inference throughput by up to 2.2x using TensorRT and Triton → Contributed to Google KerasCV, KerasIO, and NVIDIA repositories 🌍 Industries I’ve Served: 🏥 Healthcare | 📚 Education | 💬 Customer Support | 📈 Marketing | 💰 FinTech 🛠️ Tech Stack → LLMs: OpenAI, Claude, Gemini, Hugging Face → AI Frameworks: LangChain, LangGraph, RAG, Rasa → Voice AI: Whisper, STT/TTS, Real-time Streaming → Vector DBs: Pinecone, Chroma → ML/CV: TensorFlow, PyTorch, Keras, OpenCV → Deployment: FastAPI, Docker, AWS (Lambda, EC2), GCP, Triton, TensorRT I'm available for short and long-term projects, with a focus on building AI systems that are reliable, scalable, and production-ready. If you’re building an AI product and need someone who understands both research and production engineering, let’s discuss your project.

  • Artificial Intelligence
  • Generative AI
  • AI Chatbot
  • LLM Prompt Engineering
  • Machine Learning
  • AI Agent Development
  • Computer Vision
  • Natural Language Processing
  • Python
  • LangChain
  • API
  • AI Model Training
  • Model Deployment
  • Problem Solving
  • Solution Architecture
Waqar Hussain S.

Fort McMurray, Canada

$15/hr
4.7
74 jobs

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.

  • AI Bot
  • Tech & IT
  • AI Agent Development
  • AI Chatbot
  • n8n
  • Make.com
  • ChatGPT
  • Twilio
  • Automation
  • API Integration
  • AI Consulting
  • AI Builder
  • ManyChat
  • Zapier
  • ElevenLabs

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Don't just take our word for it

Hire the Best AI Agent Developers

Freelance AI agent developers design and build autonomous software to help businesses automate tasks and stay ahead in a fast-changing market in which 65% of organizations already regularly use generative AI. Find the expertise you need to bring your custom AI projects to life on Upwork.

What does an AI agent developer do?

An AI agent developer designs and builds AI agents — autonomous programs that process data from their environment, execute actions, and operate based on programmed logic to achieve specific goals. Think of an AI agent as a series of tools designed to work together to achieve more complex goals than any single program could achieve alone.

AI agent developers combine skills in AI, machine learning, and software engineering to create systems that operate independently and adjust to changing conditions without constant human intervention.

A developer's core responsibilities include:

  • Designing agent architecture. Planning the agent's goals, tools, and decision-making logic to handle its intended tasks effectively.

  • Integrating large language models (LLMs). Connecting agents to foundational models for advanced data processing, task sequencing, and natural language processing.

  • Developing custom tools. Creating the specific actions an agent can perform, such as searching a database or interacting with an application programming interface (API).

  • Testing and deployment. Ensuring the agent functions reliably, ethically, and securely before and after it goes live.

Beyond these core responsibilities, AI agent developers might also:

  • Implement observability and monitoring, including logging, tracing, and alerting to track agent decisions and performance

  • Set up evaluation frameworks and offline tests to measure accuracy, latency, cost, and safety before production release

  • Establish human-in-the-loop (HITL) review steps for high-stakes actions, enabling approvals or interventions

  • Optimize inference costs through prompt tuning, model selection, and caching strategies

  • Address data privacy, role-based access controls, and compliance with regulations like GDPR or HIPAA where applicable

How to hire a freelance AI agent developer on Upwork

Hiring an AI agent developer on Upwork is a straightforward process.

Step 1: Craft a targeted job post

A detailed AI developer job description helps you find the right match.

When writing your job post, focus on these essentials:

  • Clear project title. Use specific titles like "AI Agent Developer for Automated Sales Outreach."

  • Primary goal. Define the agent's purpose, such as "to qualify leads from our CRM."

  • Technical requirements. List skills like Python, LangChain, and experience with the GPT-4 API.

  • Project scope. Outline expected deliverables and any integration requirements.

Upwork's Job Post Generator, powered by Uma, Upwork's Mindful AI™, can help you create a strong first draft.

Pro tip: Include context about your data sources, success metrics, expected volumes (e.g., number of daily tasks), and any security or compliance constraints. This helps freelancers provide accurate proposals and timelines.

Step 2: Filter and evaluate candidates

Once proposals arrive, review candidate profiles to create a shortlist.

Look for these key indicators:

  • Relevant work history. Completed projects in AI agent development.

  • Portfolio quality. Case studies, demos, or GitHub repositories.

  • Job Success Score (JSS). A high score reflects positive client feedback.

  • Talent badges. Top Rated or Expert-Vetted badges indicate proven track records.

  • Familiarity with your domain. Projects in industries like finance, healthcare, and e-commerce can benefit from a developer with domain knowledge.

Step 3: Interview your top choices

An interview helps confirm that a candidate is the right fit. You can use Upwork video meetings to keep communications organized and secure.

Prepare interview questions for AI developers that assess technical and problem-solving skills. Consider asking questions such as:

  • "Can you describe a complex autonomous agent you've built and the main challenge you overcame?"

  • "How do you approach testing an AI agent to ensure its actions are reliable and predictable?"

  • "Which AI agent frameworks are you most experienced with, and why do you prefer them?"

  • "How do you track and improve agent performance over time (e.g., dashboards, A/B tests)?"

  • "What safeguards do you put in place to prevent unintended actions or data exposure?"

Step 4: Agree on scope and begin work

Send a contract offer through Upwork that outlines the project scope, milestones, and payment terms. Using Upwork for contracts offers security benefits like Hourly Payment Protection, identity verification, and the desktop time-tracking app. Once both parties agree, work can begin with a clearly defined and protected project scope.

How much does hiring an AI agent developer cost?

The cost to hire an AI agent developer varies based on project complexity, developer experience, and contract type. Understanding pricing structures can help you budget for your AI automation needs.

Several key factors can influence a developer's rate:

  • Project scope. A simple, single-task agent may cost less than a complex, multi-agent system.

  • Developer experience. A developer with a proven track record, visible in their Upwork work history, may command a higher rate.

  • Technology stack. Expertise in frameworks like LangChain or LlamaIndex can influence the cost.

In general, AI developers on Upwork charge between $30 and $150 per hour. Depending on your project, it may be more cost effective to work on a per-project basis. To help you plan, here's a breakdown of estimated costs to hire AI developers based on common project types:

Simple AI Agent Prototype

$500-$2,500 /project

Entry-Level to Mid-Level
  • Single-task automation
  • Basic LLM integration
  • Proof-of-concept demo

Standard AI Agent Implementation

$2,500–$10,000 /project

Mid-Level to Senior-Level
  • Multi-step workflow automation
  • API integrations with existing systems
  • Testing and deployment

Complex Multi-Agent System

$10,000+ /project

Senior-Level or Specialist
  • Large-scale autonomous systems
  • Custom tool development
  • Advanced reasoning and decision-making

Ongoing AI Agent Maintenance

$2,000–$8,000 /month

Mid-Level to Senior-Level
  • Continuous optimization
  • Performance monitoring
  • Monthly updates and improvements

Strategic AI Consulting

$5,000–$15,000+ /project

Expert or Executive-Level
  • AI strategy roadmap
  • Team training and enablement
  • Architecture design for enterprise solutions

Hourly contracts are ideal for flexible projects, while fixed-price contracts suit work with a clearly defined scope. These cost estimates provide a starting point for planning and conversations with potential developers.

Additional budgeting tips:

  • Factor in model usage costs (tokens, throughput tiers) and any vector database or orchestration platform fees

  • Budget for security reviews, red-teaming, and compliance checks if your data is sensitive

  • Plan for post-launch support — iterative improvements often yield the biggest ROI after real-world usage begins

  • Consider phased delivery that begins with a proof of concept, then scales to production once value is validated

Frequently asked questions

Is hiring an AI agent developer worth it?

Yes, for businesses aiming to automate complex workflows, hiring an AI agent developer can be a worthwhile investment. Research shows workers using gen-AI tools spent 31% less time on email tasks, demonstrating the potential efficiency gains from AI automation. It enables the creation of custom, intelligent solutions that may offer capabilities beyond off-the-shelf software.

What's the difference between an AI developer and an AI engineer?

Where an AI engineer typically has a broader focus on building and maintaining large-scale AI infrastructure, an AI agent developer is a specialist who focuses specifically on creating autonomous programs that work together to perform relatively complex tasks. AI is a complex field, and understanding the different AI roles can help you identify the right specialist for your project. 

How long does it take to develop an AI agent?

The timeline to go from planning to market depends on the project's complexity; a simple proof-of-concept agent might take a few weeks, while a sophisticated agent with multiple integrations could take several months to develop.

Can AI agent developers integrate with existing systems?

Yes, the right freelance developer will be used to working with a variety of workflows, and should be able to adjust to your system with minor onboarding. They’ll also be able to create AI agents that can integrate seamlessly with your existing business systems. 

How do I protect my data when working with a freelance developer?

To protect your data when working with any third party, be sure to use secure data-sharing practices, limit access to only necessary resources, and require that they follow your security policies.

Who owns the IP for the agent and code produced?

Ownership terms are set in your contract. Many clients choose arrangements where all deliverables and code are owned by the client upon final payment. Clarify licensing for any third-party components or models used.

How can I estimate ROI for an AI agent project?

Quantify time savings per task, expected task volume, error reduction, and potential revenue impact. Compare these benefits against development, infrastructure, and maintenance costs over a defined period (e.g., 6–12 months).

What happens after launch?

To prepare for what happens after launch, plan for ongoing monitoring and iterative improvements. Gather user feedback, review logs, and schedule regular updates to prompts, tools, and policies. Many teams adopt monthly optimization sprints to maximize value.