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Gunendu D.

Bengaluru, India

$17/hr
5.0
65 jobs

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
Ammar T.

Paderborn, Germany

$40/hr
4.9
47 jobs

⭐𝗜 𝗼𝗳𝗳𝗲𝗿 𝗮 𝗳𝗿𝗲𝗲 𝟭𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗮𝘂𝗱𝗶𝘁 𝘁𝗼 𝘀𝗵𝗼𝘄 𝘆𝗼𝘂 𝗵𝗼𝘄 𝗔𝗜 𝗰𝗮𝗻 𝗯𝗼𝗼𝘀𝘁 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆. ⭐𝗬𝗼𝘂𝗿 𝗕𝗼𝗻𝘂𝘀 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 You get a developer with Agentic AI, OpenAI, RAG systems, automation, Full Stack dev, and backend expertise — all in one person. That means you hire one expert instead of 3 and save both time and cost. 𝗠𝗼𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗲 𝗯𝗲𝗰𝗮𝘂𝘀𝗲: ❗ AI tools don’t work the way they expect ❗ Developers deliver incomplete or unstable systems ❗ Integrations break at scale ❗ Workflows are manual, slow, or outdated ✅ 𝗠𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I build production-ready AI systems that actually work. From Agentic AI automation to RAG pipelines, OpenAI integrations, N8n workflows, and full-stack platforms — I deliver reliable solutions that boost efficiency and reduce workload. I combine AI engineering + backend expertise + full stack development to give you a complete, scalable solution from idea to deployment. ⭐ 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ✔ Agentic AI Systems ✔ LLM Integration & Automation ✔ RAG Pipelines ✔ N8n Workflow Automation ✔ Full Stack Development ✔ Backend APIs ✔ OpenAI / Vapi / ElevenLabs ✔ Python, JS, TypeScript ✔ Scalable Cloud Deployments ⭐ 𝗦𝗸𝗶𝗹𝗹𝘀 ✔ Python, JavaScript, TypeScript ✔ FastAPI, Node.js, Next.js ✔ OpenAI, Llama, DeepSeek ✔ Vector Databases ✔ Supabase, PostgreSQL ✔ Docker, Kubernetes ✔ API Development & Integrations ✔ Real-time Automation ✔ AI Agents & Multimodal Workflows ⭐ 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿 ➤ Agentic AI automation & multi-agent systems ➤ Custom RAG architecture & knowledge bases ➤ AI-powered chatbots, voicebots, virtual assistants ➤ N8n automations for CRM, email, workflow management ➤ Backend engineering (APIs, auth, scalable services) ➤ Full-stack platforms with Next.js & Supabase ➤ OpenAI, Vapi, ElevenLabs integrations ➤ API development and cloud deployments ➤ End-to-end AI MVPs & enterprise solutions ⭐ 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ✔ Built scalable backends for agentic AI platforms ✔ Developed job placement & scheduling platforms ✔ Worked with Llama 3.1, DeepSeek, custom models ✔ Built multi-agent automation frameworks ✔ Integrated Zoom, Calendly, Google Meet, Twilio ✔ Built dashboards, NLP systems, and automation pipelines ⭐ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ✔ SaaS ✔ Healthcare & Medical AI ✔ Recruitment & HR Tech ✔ Finance & Market Analytics ✔ E-commerce ✔ Automation & Operations ⭐ 𝗗𝗼𝗺𝗮𝗶𝗻𝘀 ✔ AI Automation ✔ NLP & LLM Apps ✔ Backend Architecture ✔ Full-Stack Platforms ✔ Data Processing ✔ Voice & Chat Automation ⭐ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 ✔ OpenAI, Llama, DeepSeek ✔ N8n, LangChain ✔ Supabase, PostgreSQL, Redis ✔ Docker, Kubernetes ✔ Vercel, AWS ✔ Vapi, ElevenLabs ✔ Git, CI/CD If you want AI systems that actually work, workflows that run automatically, and software that scales — let’s build it together. 👉 Send me a message now. I’ll review your needs and give you a free 15-minute strategy plan to get started. 🔑 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 AI development, Agentic AI, RAG, OpenAI, LLM integration, Python, TypeScript, JavaScript, n8n automation, Vapi, ElevenLabs, FastAPI, Next.js, Supabase, backend development, full stack development, AI automation, vector database, chatbot development, workflow automation, NLP, machine learning, AI engineer, API development, cloud deployment, Docker, Kubernetes, Node.js, enterprise AI, custom LLMs, model integration, AI workflows, automation pipelines, AI agents, microservices, scalable systems, frontend backend integration, AI tools, SaaS development

  • Python
  • Generative AI
  • OpenAI API
  • LLaMA
  • AI Agent Development
  • Docker
  • Next.js
  • Kubernetes
  • OpenAI Codex Prompt
  • n8n
  • AWS Development
  • TypeScript
  • FastAPI
  • PostgreSQL
  • LangChain
Pavandeep S.

Chandigarh, India

$15/hr
5.0
20 jobs

I am a results-driven AI, Agentic AI, and Full-Stack Developer with 9+ years of experience building scalable web, mobile, cloud, and AI-powered platforms. I specialize in AI automation, Agentic AI systems, LLM integrations, multi-agent workflows, and end-to-end product development — from rapid MVPs to enterprise-grade SaaS platforms. I help startups, enterprises, and founders build intelligent applications using OpenAI, LangChain, autonomous AI agents, real-time communication systems, and modern full-stack technologies. I am the creator of THE WIND ERP, an AI-powered cloud ERP platform designed for manufacturing, workshops, logistics, and service industries. The platform integrates CRM, inventory, finance, payroll, HRMS, production tracking, workflow automation, and AI-driven analytics into a unified cloud ecosystem using Next.js, FastAPI, and MySQL. I specialize in building Agentic AI solutions, including: • Autonomous AI agents & multi-agent systems • AI copilots & AI assistants • AI workflow automation • RAG (Retrieval-Augmented Generation) systems • AI chatbots & conversational AI • Voice AI & transcription systems • AI-powered recommendation engines • AI orchestration using LangChain & OpenAI APIs My expertise includes real-time communication and streaming systems using WebRTC, LiveKit, Agora, and SocketIO. I build scalable media infrastructures with SFU optimization, cloud recording, RTMP streaming, Egress/Ingress APIs, and real-time audio/video pipelines. I also configure STUN/TURN servers and deploy scalable infrastructure using Docker, Kubernetes, NGINX, MinIO, Azure, AWS, and Vercel. In AI & Machine Learning, I work extensively with: • OpenAI (GPT-4o, Whisper, DALL·E) • LangChain & LangGraph • Hugging Face • Vector Databases • YOLO & Computer Vision • OCR & Speech-to-Text Systems • AI-driven analytics & automation systems I build AI-powered SaaS platforms, ERP systems, recruitment automation tools, trading bots, healthcare AI applications, logistics systems, and enterprise automation software. I also have strong expertise in rapid MVP development and no-code/low-code platforms including Bubble, Replit, Frontly, Lovable, and Bolt, helping founders validate ideas quickly with scalable AI integrations. Frontend Expertise: • React.js • Next.js • Angular • Vue.js • ElectronJS • Tailwind CSS • Responsive UI/UX Development Mobile Development: • React Native • Flutter • Ionic Backend & API Development: • FastAPI • Node.js • NestJS • Laravel • CakePHP • REST APIs • GraphQL APIs • Authentication Systems • Microservices Architecture Database & Cloud: • PostgreSQL • MySQL • MongoDB • SQLite • Redis • AWS • Azure • Docker • CI/CD Pipelines Key Strengths: ✔ Agentic AI & AI Automation ✔ AI SaaS Development ✔ ERP & Enterprise Software Development ✔ Full-Stack Web & Mobile App Development ✔ Real-Time Communication Systems ✔ Cloud Architecture & DevOps ✔ Scalable API & Backend Development ✔ Clean, Maintainable, Production-Ready Code ✔ End-to-End Product Development I follow agile development practices with transparent communication, daily progress updates, scalable architecture planning, and proper version control using Git/GitHub. If you are looking for an AI Developer, Agentic AI Engineer, Full-Stack Developer, FastAPI Developer, Next.js Expert, ERP Developer, or someone to build scalable AI-powered products, I can help transform your vision into a production-ready solution. Let’s build something impactful with AI.

  • Node.js
  • React Native
  • React
  • FastAPI
  • Next.js
  • OpenAI API
  • Laravel
  • Python
  • Angular 10
  • PHP
  • NestJS Development
  • Full-Stack Development
  • Mobile Development Framework
  • OpenCV
  • OpenAI Inc.
Satyam S.

Lucknow, India

$20/hr
4.9
58 jobs

Still manually moving data between your CRM, Google Sheets, Airtable, Notion, HubSpot, Pipedrive, or some collection of tools that seemed like a good idea six months ago? At some point every growing business accidentally hires a full time employee called Copy and Paste. A lead comes in. | Someone updates the CRM. | Someone updates the spreadsheet. | Someone sends the email. | Someone books the meeting. | Then an automation breaks, and someone loses an afternoon fixing it. Most businesses do not have a people problem. They have a workflow problem. That is where I come in. I am a Top Rated AI Integration Expert and Full Stack AI Engineer with 50 completed Upwork projects, a 100% Job Success Score, Microsoft Certified AI Engineer (AI-102), and certified n8n Expert. Want proof before you spend anything? Send me a message or an invite with the tools in your stack and where it hurts. Within 24 hours I will send you a free personalized Loom audit with the two or three fastest automation wins I can see. No pitch, no obligation. If the ideas are useful, we talk. If not, you keep the ideas. I help startups, agencies, and SaaS companies build AI powered products, automate business operations, integrate CRMs, and ship production ready backend systems. Recent builds include a WhatsApp AI agent that answers travel inquiries and books trips 24/7, salon operations automation on n8n, an AI property damage assessment pipeline, and automated price monitoring with Zapier and Browse.ai. Your team gets back to thinking, deciding, and selling. Anything except updating the same CRM record for the fifth time. MY EXPERTISE • AI Integration and AI Automation • AI Agent Development • AI Appointment Setters • Lead Generation and Qualification Automation • Customer Support Automation • Sales and Marketing Automation • Business Process Automation • CRM Automation and SaaS Automation AI & LLM DEVELOPMENT • OpenAI API Integration and ChatGPT Integration • Claude API and Gemini API • MCP Servers (Model Context Protocol) • LangChain and LangGraph • LLM Integration • Retrieval Augmented Generation (RAG) and Knowledge Base Chatbots • AI Chatbot Development • Document Processing and Data Extraction • Claude Code and Lovable WORKFLOW AUTOMATION PLATFORMS • n8n and Self Hosted n8n Expert • Make • Zapier • Pipedream BUSINESS SYSTEMS & INTEGRATIONS • Airtable Automation • Google Sheets Automation • Notion Automation • HubSpot Integration • GoHighLevel Development • Pipedrive Automation • ClickUp Automation • Asana Automation • Slack Integration • Calendly Integration • WhatsApp Automation and WhatsApp AI Agents • QuickBooks Automation • BotPress BACKEND & SAAS DEVELOPMENT Most automation freelancers stop once two apps are talking to each other. I usually start there, because the hard part is not connecting tools. It is making sure they keep working next month, and after somebody changes a field name at 2 AM and forgets to tell anyone. I am a full stack engineer first, so your automations come with error handling, retries, logging, and documentation. • Backend Development and Full Stack Development • AI SaaS Development • API Integration, Webhook Integration, Third Party Integrations • NestJS, Express.js, Node.js, FastAPI • PostgreSQL, MongoDB, Supabase • MERN and PERN Stack • Golang, Docker, GitHub, AWS, Microservices Systems I have built have automated thousands of repetitive operations, streamlined lead processing, reduced operational workload, and cut customer response times from hours to minutes. A recent client put it better than I can: "I highly recommend Satyam. He cares about the quality of his work and delivered everything and more. I will hire again." I work with startups, agencies, and SaaS companies across the US, UK, Europe, Australia, and the Middle East. Available across EST, CST, PST, GMT, and other overlapping time zones, and I usually reply within a few hours. Flexible with project based work, ongoing engagements, part time support, and long term contracts. So if you are spending your weekdays, or worse, your weekends, manually updating CRMs, moving data between tools, fixing broken automations, chasing leads, or wondering why your fully automated system needs three people to keep it alive... Then it is time we had a little chit-chat. Message me, and your free Loom audit is on its way.

  • API Integration
  • AI Development
  • Full-Stack Development
  • Back-End Development
  • SaaS Development
  • AI Agent Development
  • API Development
  • Automation
  • API
  • n8n
  • Make.com
  • Zapier
  • AI Chatbot
  • Google Sheets Automation
  • JavaScript
  • Python
  • Node.js
  • ChatGPT
  • OpenAI API
  • Claude
Hamid A.

Rawalpindi, Pakistan

$20/hr
5.0
5 jobs

🧑‍💻 Worked with Google and NVIDIA developers on AI projects ⭐ Top Rated AI Engineer with 100% Job Success Rate 🚀 7+ years of AI experience 🥈 MS Data Science (Silver Medalist) Senior AI Engineer with experience building AI systems using LLMs, RAG, AI agents, voice AI, and automation. Not sure where AI can add value to your business? I can help identify opportunities to improve or automate your workflow, then build a solution that supports your business goals. 🏆 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. 🚀 𝙎𝙤𝙢𝙚 𝙚𝙭𝙖𝙢𝙥𝙡𝙚𝙨 𝙤𝙛 𝙢𝙮 𝙬𝙤𝙧𝙠: 🤖 𝑨𝑰 𝑪𝒉𝒂𝒕𝒃𝒐𝒕𝒔, 𝑨𝒈𝒆𝒏𝒕𝒔, 𝒂𝒏𝒅 𝑽𝒐𝒊𝒄𝒆 𝑺𝒚𝒔𝒕𝒆𝒎𝒔: Built healthcare and customer support systems using RAG and specialized AI agents for FAQs, patient data queries, appointment workflows, product search, and order management. Integrated web, SMS, and WhatsApp channels, along with real-time voice interaction using streaming speech-to-text and text-to-speech. These systems reduced support workload by approximately 40%. 🏦𝑽𝒐𝒊𝒄𝒆 𝑨𝑰 𝒇𝒐𝒓 𝑩𝒂𝒏𝒌𝒊𝒏𝒈: Led the development of a low-latency voice banking assistant using LangGraph Agents, Google streaming Speech-to-Text, and Text-to-Speech. It supported banking workflows such as balance inquiries, fund transfers, bill payments, beneficiary management, and debit card controls, with a target response time of under two seconds. 📊𝑳𝒂𝒓𝒈𝒆-𝑺𝒄𝒂𝒍𝒆 𝑨𝑰 𝑬𝒗𝒂𝒍𝒖𝒂𝒕𝒊𝒐𝒏: Built a multimodal AI grading system that processes 150K+ student evaluations daily, including written and voice responses, rubrics, graphs, tables, diagrams, and images. 🧬 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝑨𝑰 𝒂𝒏𝒅 𝑴𝒆𝒅𝒊𝒄𝒂𝒍 𝑫𝒂𝒕𝒂: Developed a LangGraph-based medical assistant that retrieves and explains patient records using FHIR R4 and Google Cloud Healthcare API, including scalable processing of large healthcare datasets. 📄𝑫𝒐𝒄𝒖𝒎𝒆𝒏𝒕 𝑨𝑰 𝒂𝒏𝒅 𝑹𝑨𝑮: Developed pipelines that extract structured information from complex PDFs using OCR and multimodal LLMs, retrieve supporting evidence, and evaluate curriculum lessons against educational standards. 👁️ 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏 𝒂𝒏𝒅 𝑬𝒅𝒈𝒆 𝑨𝑰: Built real-time object detection, tracking, and counting systems for industrial conveyor belts, optimized for deployment on mobile and edge devices. 🧩 𝘼𝙧𝙚𝙖𝙨 𝙄 𝘾𝙖𝙣 𝙃𝙚𝙡𝙥 𝙒𝙞𝙩𝙝: AI Chatbots | RAG Systems | AI Agents | Workflow Automation (n8n, Make) | Customer Support Automation (CRM, WhatsApp) | Voice AI & Phone Agents (ElevenLabs, Vapi, Retell AI, Twilio) | Internal Knowledge Assistants | Document AI & OCR | LLM Fine-tuning | API Integrations | AI Backend Development | AI Deployment & Optimization | Computer Vision (detection, segmentation, tracking) 🌍𝙄𝙣𝙙𝙪𝙨𝙩𝙧𝙞𝙚𝙨 𝙄’𝙫𝙚 𝙎𝙚𝙧𝙫𝙚𝙙: 🏥 Healthcare | 📚 Education | 🤖 Customer Support | 📈 Marketing | 💰 FinTech 🛠️𝙏𝙚𝙘𝙝 𝙎𝙩𝙖𝙘𝙠 → LLMs and APIs: OpenAI, Claude, Gemini → AI Frameworks: LangChain, LangGraph, Rasa, Hugging Face → Retrieval and RAG: Hybrid search, query rewriting, reranking, Chroma → Voice AI and Telephony: Twilio, Vapi, Retell AI, ElevenLabs, streaming STT/TTS → Workflow Automation: n8n, Make, Zapier → CRM and Business Integrations: GoHighLevel, HubSpot, Shopify → ML and Computer Vision: PyTorch, TensorFlow, Keras, OpenCV → Backend and Deployment: Python, FastAPI, Docker, AWS, GCP, PostgreSQL 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.

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

Lahore, Pakistan

$35/hr
4.7
52 jobs

🌐🚀 MVP / SAAS Specialist Expertise in | AI Developer | RAG | LLM | AI Integration | Python | OpenAI API Integration | Artificial intelligence | Machine Learning | Langchain | Django React JavaScript | FastAPI | AI agent | AI App Development | AI bot | AI chatbot | AI Agent | Restful API | PostgresSQL | Botpress | PostHog | MCP Server | Multi-Agents/Multiple Agents | Voice AI 🔑 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐜𝐮𝐬𝐭𝐨𝐦 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, AI-Powered MVP, AI Healthcare Tools, AI Writing Tool, GPT Clone, Full Stack Application, Multi-Tenant 𝐚𝐧𝐝 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐨𝐥𝐯𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬, 𝐜𝐫𝐞𝐚𝐭𝐞 𝐧𝐞𝐰 𝐯𝐚𝐥𝐮𝐞, 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐮𝐬𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬. 🎁 A 100% refund, if I'm unable to meet our agreed commitments. No questions asked! 𝐊𝐞𝐲 𝐅𝐚𝐜𝐭𝐬: 🧑‍💻 8+ years of experience as a Full Stack Developer and Artificial Intelligence Specialist 🚀 50+ market-winning projects launched ⌛ Around 600 hours on Upwork 🎯 Top-Rated on Upwork 🌉𝐈'𝐯𝐞 𝐬𝐨𝐥𝐯𝐞𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐟𝐨𝐫 𝐭𝐨𝐩 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐚𝐧𝐝 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐫𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐠𝐥𝐨𝐛𝐞 ☑️ Under Armour ☑️ Snowflake ☑️ Estateza ☑️ SearchLook ☑️ Sparrowcharts 💡 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐚𝐛𝐥𝐞? ☑️ Full Stack Development for robust and scalable web applications, including both front-end and back-end technologies ☑️ Custom Web and Application Development utilizing frameworks like Python, React, Django, React.js / Angular / Next.js / Nest / Nust / Golang and Node.js ☑️ Expertise in LLMs and ChatGPT integration to enhance application functionalities ☑️ Proficiency in RESTful APIs, GraphQL, and database management ☑️ Experience with cloud services like AWS, Azure, and Google Cloud for deployment and scaling ☑️ Strong problem-solving skills and ability to optimize user experiences and application performance 🌟𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐬𝐚𝐲 𝐚𝐛𝐨𝐮𝐭 𝐦𝐞: 🌟 Ali Hamza is in the top tier of software developers and data engineers. He is far more than an implementer; he is a strong architect. During this project set, Usama worked on data from major US corporations 🌟 One of the best developers I have ever worked with. He is always on time and does exactly what he says he will do. I could not recommend him enough. 🎯 𝐈 𝐩𝐨𝐬𝐬𝐞𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐝𝐨𝐦𝐚𝐢𝐧𝐬 ☑️ Full Stack Development: ☑️ Backend: ☑️ Python ☑️ Django ☑️ Flask ☑️ NodeJs, Express.js ☑️ Rest API, SOAP ☑️ Websocket ☑️ Third party integration ☑️ Frontend: ☑️ Html5, Css3, Bootstrap ☑️ Javascript ☑️ ReactJs, Angular ☑️ VueJs ☑️ NextJs, NuxtJs ☑️ Ajax, JSON, XML, XHTML, SVG, Canvas ☑️ API integration, OpenAI API ☑️ DevOps: ☑️ CI/CD Pipelines ☑️ IaC ☑️ Docker ☑️ Kubernetes / Terraform ☑️ Elasticsearch ☑️ Cloud Computing (Azure, AWS, Google Cloud) ☑️ Version Control (Git, GitHub) ☑️ Containerization + Orchestration (Docker, Kubernetes) ☑️ Spring Boot / Java, Microservices Architecture ☑️ Real-time / Streaming / Event-driven architectures ☑️ Session Recordings / Session Replays ☑️ GraphQL / gRPC ☑️ Kafka / Redpanda (real-time streaming) ☑️ Generative Artificial Intelligence (GenAI) ☑️ Large Language Models (LLMs) ☑️ Natural Language Processing (NLP) ☑️ ChatBots and Virtual Assistants ☑️ Text to Image Modelling ☑️ Vector Databases ☑️ Retrieval-Augmented Generation (RAG) ☑️ ChatGPT ☑️ OpenAI ☑️ AI/ML (Artificial Intelligence + Machine Learning) ☑️ Multimodal AI / NLP ☑️ Agentic AI / Autonomous Agents ☑️ “Vibe Coding” / AI-first / prompt-driven dev workflows ☑️ Explainable AI / Ethical, Sustainable AI ☑️ Edge AI / On-device / Federated Learning ☑️ Web Scraping ☑️ Data Extraction ☑️ Data Scraping ☑️ Scrapy ☑️ Selenium ☑️ Beautiful Soup ☑️ Requests ☑️ Deployment and scheduling the scraping scripts on server ☑️ PostHog / Mixpanel / Amplitude / Segment (Twilio Segment) ☑️ OpenTelemetry (Datadog / Grafana / Sentry ☑️ LaunchDarkly / GrowthBook / VWO / Optimizely / Klaviyo ☑️ Airbyte / Fivetran / DBT ☑️ Auth0 / Clerk / SuperTokens / Google Auth ☑️ Stripe / Paddle ☑️ Plaid AI + Analytics Integrations ☑️ LangSmith / LangFuse – Observability and evaluation layer for LLM apps. ☑️ Weaviate / Pinecone / Qdrant – Vector DBs for AI features with analytics hooks. ☑️ Whylabs / Arize AI – ML observability & monitoring (similar to PostHog but for models). I am a Fullstack AI Developer - Python Django, React, Flask, API Integration I can help you to build: ⚡ Fast MVP Development (AI-Powered) ✅ ⚡ AI Powered SAAS Applications ✅ ⚡ AI Agent RAG Systems | AI Chatbots ✅ ⚡ Open AI API Integrations / LLM ✅ ⚡ Full stack Development (AI/ML, Django, React) ✅ ⚡ AI Workflows Automation ⚡ Voice AI tools Thank you for visiting my profile. Looking forward to working with you! I will 💲REFUND 💲, if your expectation wont meet. For reference, you can see my work and testimonials below. Lets Chat!

  • Artificial Intelligence
  • Machine Learning
  • AI Agent Development
  • OpenAI API
  • AI Development
  • Django
  • Python
  • Retrieval Augmented Generation
  • API Integration
  • JavaScript
  • React
  • PostgreSQL
  • Large Language Model
  • Chatbot Development
  • LangChain
  • API
  • LLM Prompt Engineering
  • Web Application
  • AI App Development
  • FastAPI

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Don't just take our word for it

OpenAI developer hiring guide

OpenAI developers help businesses harness the power of advanced AI to streamline operations, accelerate product development, and gain a competitive edge. Hiring an OpenAI developer gives organizations the technical expertise to deploy scalable, production-ready AI applications that drive measurable results.

What does an OpenAI developer do?

An OpenAI developer uses tools like the OpenAI API, SDKs, Python, JavaScript, and cloud infrastructure to design, build, and maintain AI‑powered applications such as chatbots, GPT-5 prototypes, multimodal systems, automation workflows, and custom reasoning models. Businesses hire them to create tailored AI systems, from custom endpoints and function calling setups to full‑cycle app development and production‑ready AI models.

These professionals bridge the gap between OpenAI's rapidly evolving platform and specific business needs. Their typical responsibilities include: 

  • Managing model selection, prompt engineering, fine-tuning, and deployment while ensuring applications perform reliably at scale

  • Integrating ChatGPT into customer support systems

  • Building content-generation pipelines powered by the latest GPT models

  • Handling authentication, security, and cost optimization across OpenAI's token-based pricing structure to keep projects efficient and sustainable

  • Delivering solutions that align AI capabilities with real-world business objectives 

Whether you need to fine-tune GPT models, build intelligent chatbots, integrate multimodal AI tools into existing workflows, or automate complex processes using the OpenAI API, these specialists translate cutting-edge AI capabilities into practical business solutions.

How to hire an OpenAI developer on Upwork

Upwork helps businesses of every size connect with dedicated AI professionals who specialize in OpenAI models, AI applications, real‑time automation, and back-end infrastructure. 

Finding the right OpenAI developer requires a structured approach to evaluating technical proficiency and project alignment. 

Step 1: Post your project

A clear, detailed job description helps attract qualified OpenAI developers who understand your specific requirements. Providing specific technical details and project context helps candidates self-select based on their relevant expertise.

  • Define your AI use case, preferred models, and expected deliverables up front. 

  • Use Upwork's job description template for software developers to get started.

  • Define scope. Specify whether you need ChatGPT implementation, automation with OpenAI API, multimodal workflows, or enterprise reasoning models.

  • Mention tools and frameworks. Include OpenAI SDK, function calling, Azure OpenAI, GitHub, authentication, and deployment requirements.

  • Highlight the target outcome. State whether this is a startup MVP, full‑scale enterprise chatbot, content‑generation pipeline, or AI‑driven product.

The job posting process is even easier with the help of our Job Post Generator, powered by Uma™, Upwork's Mindful AI. Simply tell Uma what you need in a few sentences, and it will draft a customizable OpenAI developer job post, ready in seconds for your review.

Step 2: Review proposals

A systematic approach to proposal review helps you distinguish between developers with genuine OpenAI expertise and those with only surface-level familiarity. Prioritize candidates who demonstrate measurable outcomes from previous AI projects.

  • Focus on evidence of real-world deployments rather than theoretical knowledge alone when identifying developers with hands-on OpenAI experience.

  • Portfolio relevance. Look for projects involving GPT-4/GPT-5, ChatGPT, OpenAI API, real‑time AI workflows, and back-end frameworks.

  • Technical fluency. Ensure they understand endpoints, authentication, embedding, function calling, client libraries, and integration with GitHub or cloud services.

  • Feedback and trust. Prioritize professionals with strong reviews, repeat clients, and project descriptions showing structured outputs and automation.

You can use Upwork’s instant video interviews to screen applicants for a best-fit shortlist, with Uma providing side-by-side candidate comparisons.

Step 3: Conduct interviews

The interview step is your opportunity to evaluate how candidates approach complex AI challenges and whether their working style aligns with your team's needs. Prepare scenario-based questions that reveal both technical competence and collaborative ability.

  • Use this stage to verify technical depth, communication style, and alignment with your project's requirements. For OpenAI developers with deep model expertise, machine learning engineer interview questions can help assess foundational AI knowledge. 

  • Review AI developer interview questions to structure your discussion.

  • Engine and model experience. Ask whether they've deployed GPT‑4 or GPT‑5 models in production and how they handled real‑time responses.

  • Integration and automation workflow. Ask how they set up function calling, managed API endpoints, and ensured structured outputs for your use case.

  • Collaboration and deployment. Ask for their process around version control (GitHub), deployment frameworks, cloud authentication, and monitoring.

Upwork Messages allows you to schedule and conduct live video interviews on the platform, with call transcripts and summaries available after the calls.

Step 4: Hire and collaborate

Once you've selected your OpenAI developer, formalize project terms in a contract. Establishing a strong foundation for collaboration from the outset helps prevent scope creep and miscommunication throughout the project life cycle. 

  • Agree on the project structure: hourly for ongoing efforts or fixed-price for projects with finite deliverables.

  • Break work into milestones. For example: prototype fine‑tuning, production deployment, and post‑launch monitoring.

  • Set review cadence. Establish when you'll test model outputs, review endpoints, and validate user experience.

  • Stay on track. Track deliverables, approve milestones, manage communication, and share code via built-in tools in Upwork’s project workroom.

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

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

How much does hiring an OpenAI developer cost?

Hiring an OpenAI developer is similar in cost to hiring any AI developer, $30-$150 per hour. The range is large since costs depend on the developer's expertise, the complexity of the AI integration, and the scope of work required. 

Project-based pricing can be a more reliable predictor when planning a budget. Review thse typical costs for OpenAI projects commonly found on Upwork:

ChatGPT API integration

$500-$2,000/project

Entry-level
  • Connect ChatGPT to an existing website or app
  • Set up API endpoints and authentication
  • Basic prompt configuration and testing

Custom GPT chatbot development

$2,000-$8,000/project

Mid-level
  • Build a branded chatbot with conversation flows
  • Function calling and structured output setup
  • Deployment to production environment

AI workflow automation system

$5,000-$20,000/project

Mid-level to expert-level
  • Multistep automation using OpenAI API and cloud services
  • Integration with existing business tools and databases
  • Monitoring dashboard and error handling

Fine-tuned model application

$10,000-$30,000/project

Expert-level
  • Custom model fine-tuning with proprietary data
  • Performance benchmarking and optimization
  • Production deployment with scaling architecture

Enterprise multimodal AI platform

$25,000-$75,000+/project

Expert-level
  • Full-cycle AI application integrating text, image, and audio models
  • Enterprise-grade security, SSO, and compliance
  • Ongoing maintenance and model update retainer

FAQs about OpenAI developers

Frequently asked questions

Is hiring an OpenAI developer worth it?

Yes, when your business needs to leverage AI models like GPT‑5, Sora, or the OpenAI platform to automate workflows, generate content, or build real‑time applications, hiring an OpenAI development specialist pays off. Companies investing in AI development services see improved efficiency, faster time to market, and stronger competitive advantage. Demand for AI and machine‑ earning expertise is rising rapidly, and businesses with AI‑driven models are positioned to scale faster.

What types of businesses benefit most from hiring an OpenAI developer?

Businesses pursuing AI‑driven content generation, chatbot automation, enterprise API integrations, mobile AI apps, startup MVPs, or custom reasoning models benefit most from hiring OpenAI developers. If you're building apps using OpenAI models, fine‑tuning a GPT, automating workflows, or integrating AI at scale, then a dedicated OpenAI developer is an asset.

Smaller organizations without in‑house AI teams can outsource these capabilities, while startups can prototype quickly with expert help and scale as required without hiring full‑time data science or AI teams.

How long does it take to build an AI application using OpenAI models?

The time to build an AI application using OpenAI models depends on the use case. Simple prototypes (e.g., a ChatGPT-powered widget) can launch in a few weeks, while fully integrated, scalable AI systems with fine‑tuning, multimodal inputs, and production deployment may take three to six months or more. Iteration and testing of models, integrations, and workflows account for much of the timeline.

Creating and testing early prototypes help validate business value and reduce risk. Once core functionality is proven, you can move into optimization, scaling, monitoring, and enterprise deployment.

What kind of ongoing maintenance or support will my AI app need?

AI applications built with the OpenAI platform require ongoing work, typically including monitoring API usage and cost, updating models (e.g., switching to the latest available model, or changing models as prices change), refining prompts, securing authentication keys, handling content‑type variations, integrating user feedback, and scaling infrastructure. You may also need post‑launch tweaks, bug fixes, user‑experience improvements, and model governance.

Planning for a maintenance contract or retainer ensures your AI workflows stay performant, aligned with business goals, and responsive to new data or model updates.