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GET/freelancers/top

Top Freelancers

Get Upwork's top freelancers for a skill, plus the hiring cost guide and FAQ for that skill.

QUERY PARAMS

Skill name or an upwork.com /hire/ URL.

Examples:

  • Name: AI
  • URL: https://www.upwork.com/hire/python-developers/
{
  "skill": "AI Developers",
  "slug": "ai-developers",
  "skill_id": "1031626716094119936",
  "title": "AI Developers",
  "reviews": {
    "average_rating": 4.8,
    "count": 12637
  },
  "freelancers": [
    {
      "id": "784255890352844800",
      "ciphertext": "~0152599b36414e1111",
      "name": "Atul K.",
      "title": "AI Developer | Agentic AI Engineer | AI Automation Expert | AI Agents",
      "link": "https://www.upwork.com/freelancers/~0152599b36414e1111",
      "description": "š—§š—¼š—½ š—„š—®š˜š—²š—± š—£š—¹š˜‚š˜€ | š—”š—œ š—˜š—»š—“š—¶š—»š—²š—²š—æ & š—™š˜‚š—¹š—¹-š—¦š˜š—®š—°š—ø š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ | 10+ š—¬š—²š—®š—æš˜€ | šŸ­% š—¼š—³ š—Øš—½š˜„š—¼š—æš—ø | šŸ­šŸ¬šŸ¬% š—š—¼š—Æ š—¦š˜‚š—°š—°š—²š˜€š˜€\n\nāœ… $300K+ Total earnings\nāœ… 10+ Years experience as Fullstack Developer āœ… 150+ Projects Completed. āœ… Top Rated Plus.\nāœ… 100% Job Success Rate. āœ… AWS certified āœ… Python certified āœ… 50hrs/week available\nāœ… 5+ AI/ML Integrations\n\nšŸ”“ I am in the š—§š—¼š—½ šŸ­% overall on Upwork.\nšŸ”“ I am in the š—§š—¼š—½ šŸ°% overall on Stack Overflow.\n\nI am Atul Kumar, a seasoned developer with over 10+ years of experience in web application and software development.\n\nWorking with LLMs for the past 10+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama\n\nšŸ”¹ AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI\nšŸ”¹ LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain\nšŸ”¹ Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8Ɨ7B, Falcon, Gemma\nšŸ”¹ Inference Optimization: vLLM, TGI, TensorRT-LLM\nšŸ”¹ Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts\nšŸ”¹ Quantization: AWQ, GPTQ, GGUF, GGML\nšŸ”¹ RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant\nšŸ”¹ Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks\nšŸ”¹ LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK\n\nšŸ–„ļø š—•š—®š—°š—øš—²š—»š—± š—¦š—øš—¶š—¹š—¹š˜€:\nšŸ”¹ Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API.\nšŸ”¹ Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore.\nšŸ”¹ Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design.\nšŸ”¹ Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure.\nšŸ”¹ Experienced with Nest.js for enterprise-grade server-side applications.\nšŸ”¹ LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations.\nšŸ”¹ Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines.\nšŸ”¹ Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping.\nšŸ”¹ Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium.\n\n🌐 š—™š—æš—¼š—»š˜š—²š—»š—± š—¦š—øš—¶š—¹š—¹š˜€:\nšŸ”¹ Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends.\nšŸ”¹ Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA).\nšŸ”¹ Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs.\n\nšŸ› ļø š—§š—¼š—¼š—¹š˜€ & š—§š—²š—°š—µš—»š—¼š—¹š—¼š—“š—¶š—²š˜€:\nšŸ”¹ Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn.\nšŸ”¹ Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment.\nšŸ”¹ Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS).\n\n🌟 š—”š—±š˜ƒš—®š—»š—°š—²š—± š—”š—œ & š—Ÿš—Ÿš—  š—¦š—øš—¶š—¹š—¹š˜€:\nšŸ”¹ AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI.\nšŸ”¹ Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8Ɨ7B, Falcon, Gemma.\nšŸ”¹ Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments.\nšŸ”¹ Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts.\nšŸ”¹ Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment.\nšŸ”¹ LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H\n\nš€šˆ š€š šžš§š­ / š•šØš¢šœšž š€š šžš§š­š¬: š‚š«šžš°š€šˆ / š€š®š­šØš†šžš§ / š€š¦ššš³šØš§ ššØš„š„š² / šƒšžšžš©š š«ššš¦ / š‘ššš¬šš š€šˆ / š‘š¢šÆšžš«š¬š¢ššž š’šƒšŠ / š€š³š®š«šž š€šˆ š’š©šžšžšœš”/š‹š‹šŒ š…š¢š§šžš­š®š§š¢š§š : š”š¬š¢š§š  šš„š…š“ / š‹šØš‘š€ / šš‹šØš‘š€ / š‘š‹š‡š… / šƒššŽ / š’š…š“ š°š¢š­š” š”š§š¬š„šØš­š” / š€š±šØš„šØš­š„ / š‡š®š š š¢š§š š…šššœšž š€š®š­šØš“š«ššš¢š§ / š’ššš šžšŒššš¤šžš« š“š«ššš¢š§š¢š§š /šŽš©šžš§-š’šØš®š«šœšž š‹š‹šŒš¬: š‹š‹š€šŒš€ šŸ‘ / šŒš¢š¬š­š«ššš„ šŸ•š / šŒš¢š±š­š«ššš„ šŸ–š±šŸ•š / š…ššš„šœšØš§ / š†šžš¦š¦šš / šš„šØšØš¦ / šŽš«šœšš šŒš¢š§š¢ / š†š®ššš§šššœšØ/š…ššš¬š­ šˆš§šŸšžš«šžš§šœšž: šÆš‹š‹šŒ / š“š†šˆ / š“šžš§š¬šØš«š‘š“-š‹š‹šŒ / š’šŠšš¢š„šØš­/šš«šØš¦š©š­ š„š§š š¢š§šžšžš«š¢š§š : šŒš®š„š­š¢-š­š®š«š§ / š…šžš°-š¬š”šØš­ / š™šžš«šØ-š¬š”šØš­ / š‘š€š†-šššš¬šžš / šš«šØš š«ššš¦š¦ššš›š„šž šš¢š©šžš„š¢š§šžš¬/šš®ššš§š­š¢š³ššš­š¢šØš§: š€š–š / š†šš“š / š†š†š”š… / š†š†šŒš‹ / šš‹šŽš‘š€ / šš“š / šƒš/š‘š€š† š’š²š¬š­šžš¦š¬ & šƒššš­ššš›ššš¬šžš¬: š‹ššš§š š‚š”ššš¢š§ / š‹š„ššš¦šššˆš§ššžš± / š‚š”š«šØš¦šš / š…š€šˆš’š’ / šš¢š§šžšœšØš§šž / ššš«ššš§š­ / š–šžšššÆš¢ššš­šž / šŒš¢š„šÆš®š¬\n\nMy expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions.\n\nI 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.\n\nWarm regards,\nAtul Kumar",
      "photo": "https://www.upwork.com/profile-portraits/c1_B6xKR2zUXjT2RTC6aHBA7G32p9jkeS4q6C6mJ7a1_Du4oXfC-uDZrGieSxoOkzk",
      "location": {
        "city": "Noida",
        "state": "Uttar Pradesh",
        "country": "India",
        "country_code": null,
        "region": null,
        "subregion": null,
        "timezone": null
      },
      "hourly_rate": {
        "amount": 20,
        "currency": "USD"
      },
      "skills": [
        {
          "id": "1691099314170376192",
          "name": "AI Bot"
        },
        {
          "id": "1623716864341708800",
          "name": "AI Chatbot"
        },
        {
          "id": "1691099314254262272",
          "name": "AI Development"
        },
        {
          "id": "1623716864320737280",
          "name": "AI Text-to-Speech"
        },
        {
          "id": "1623716864329125888",
          "name": "AI Text-to-Image"
        },
        {
          "id": "1691099315546107904",
          "name": "AI Speech-to-Text"
        },
        {
          "id": "1691099314241679360",
          "name": "AI App Development"
        },
        {
          "id": "1691099314245873665",
          "name": "AI Agent Development"
        },
        {
          "id": "1631308909698273280",
          "name": "AI Mobile App Development"
        },
        {
          "id": "1691099107328274432",
          "name": "AI Image Generation"
        },
        {
          "id": "1691099315051180032",
          "name": "AI Implementation"
        },
        {
          "id": "1691099313012748288",
          "name": "AI Platform"
        },
        {
          "id": "1623716863997775872",
          "name": "AI Model Integration"
        },
        {
          "id": "1691099315495776256",
          "name": "AI Security"
        },
        {
          "id": "1691099332042305537",
          "name": "AI Trading"
        }
      ],
      "stats": {
        "job_success_score": null,
        "rating": 4.93,
        "feedback_count": 93,
        "total_jobs": 191,
        "total_hours": 0.0,
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    {
      "id": "448426734825074688",
      "ciphertext": "~01e24d1027d3c54619",
      "name": "Syed A.",
      "title": "Full-stack AI Developers / AI Engineer | Multi-Agents | Voice AI Agent",
      "link": "https://www.upwork.com/freelancers/~01e24d1027d3c54619",
      "description": "šŸŒšŸš€ 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\n\nšŸ”‘ šˆ š›š®š¢š„š ššš§š ššžš©š„šØš² šœš®š¬š­šØš¦ š°šžš› ššš©š©š„š¢šœššš­š¢šØš§š¬, AI-Powered MVP, AI Healthcare Tools, AI Writing Tool, GPT Clone, Full Stack Application, Multi-Tenant ššš§š š¢š§š§šØšÆššš­š¢šÆšž š€šˆ š¬š²š¬š­šžš¦š¬ š­š”ššš­ š¬šØš„šÆšž šœšØš¦š©š„šžš± š©š«šØš›š„šžš¦š¬, šœš«šžššš­šž š§šžš° šÆššš„š®šž, ššš§š š¢š¦š©š«šØšÆšž š®š¬šžš« šžš±š©šžš«š¢šžš§šœšžš¬.\n\nšŸŽ A 100% refund, if I'm unable to meet our agreed commitments. No questions asked!\n\nšŠšžš² š…šššœš­š¬:\nšŸ§‘ā€šŸ’» 8+ years of experience as a Full Stack Developer and Artificial Intelligence Specialist\nšŸš€ 50+ market-winning projects launched\nāŒ› Around 600 hours on Upwork\nšŸŽÆ Top-Rated on Upwork\n\nšŸŒ‰šˆ'šÆšž š¬šØš„šÆšžš šžš§š š¢š§šžšžš«š¢š§š  š©š«šØš›š„šžš¦š¬ šŸšØš« š­šØš© šœšØš¦š©ššš§š¢šžš¬ ššš§š š¬š­ššš«š­š®š©š¬ ššš«šØš®š§š š­š”šž š š„šØš›šž\n\nā˜‘ļø Under Armour\nā˜‘ļø Snowflake\nā˜‘ļø Estateza\nā˜‘ļø SearchLook\nā˜‘ļø Sparrowcharts\n\nšŸ’” š–š”ššš­ šœššš§ šˆ š›š«š¢š§š  š­šØ š²šØš®š« š­ššš›š„šž?\n\nā˜‘ļø Full Stack Development for robust and scalable web applications, including both front-end and back-end technologies\nā˜‘ļø Custom Web and Application Development utilizing frameworks like Python, React, Django, React.js / Angular / Next.js / Nest / Nust / Golang and Node.js\nā˜‘ļø Expertise in LLMs and ChatGPT integration to enhance application functionalities\nā˜‘ļø Proficiency in RESTful APIs, GraphQL, and database management\nā˜‘ļø Experience with cloud services like AWS, Azure, and Google Cloud for deployment and scaling\nā˜‘ļø Strong problem-solving skills and ability to optimize user experiences and application performance\n\nšŸŒŸš‡šžš«šž'š¬ š°š”ššš­ š‚š„š¢šžš§š­š¬ š”šššÆšž š­šØ š¬ššš² ššš›šØš®š­ š¦šž:\n\n🌟 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\n\n🌟 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.\n\nšŸŽÆ šˆ š©šØš¬š¬šžš¬ šžš±š©šžš«š­š¢š¬šž š¢š§ š­š”šž šŸšØš„š„šØš°š¢š§š  ššØš¦ššš¢š§š¬\n\nā˜‘ļø Full Stack Development:\nā˜‘ļø Backend:\nā˜‘ļø Python\nā˜‘ļø Django\nā˜‘ļø Flask\nā˜‘ļø NodeJs, Express.js\nā˜‘ļø Rest API, SOAP\nā˜‘ļø Websocket\nā˜‘ļø Third party integration\n\nā˜‘ļø Frontend:\nā˜‘ļø Html5, Css3, Bootstrap\nā˜‘ļø Javascript\nā˜‘ļø ReactJs, Angular\nā˜‘ļø VueJs\nā˜‘ļø NextJs, NuxtJs\nā˜‘ļø Ajax, JSON, XML, XHTML, SVG, Canvas\nā˜‘ļø API integration, OpenAI API\n\nā˜‘ļø DevOps:\nā˜‘ļø CI/CD Pipelines\nā˜‘ļø IaC\nā˜‘ļø Docker\nā˜‘ļø Kubernetes / Terraform\nā˜‘ļø Elasticsearch\nā˜‘ļø Cloud Computing (Azure, AWS, Google Cloud)\nā˜‘ļø Version Control (Git, GitHub)\nā˜‘ļø Containerization + Orchestration (Docker, Kubernetes)\nā˜‘ļø Spring Boot / Java, Microservices Architecture\nā˜‘ļø Real-time / Streaming / Event-driven architectures\nā˜‘ļø Session Recordings / Session Replays\nā˜‘ļø GraphQL / gRPC\nā˜‘ļø Kafka / Redpanda (real-time streaming)\n\nā˜‘ļø Generative Artificial Intelligence (GenAI)\nā˜‘ļø Large Language Models (LLMs)\nā˜‘ļø Natural Language Processing (NLP)\nā˜‘ļø ChatBots and Virtual Assistants\nā˜‘ļø Text to Image Modelling\nā˜‘ļø Vector Databases\nā˜‘ļø Retrieval-Augmented Generation (RAG)\nā˜‘ļø ChatGPT\nā˜‘ļø OpenAI\nā˜‘ļø AI/ML (Artificial Intelligence + Machine Learning)\nā˜‘ļø Multimodal AI / NLP\nā˜‘ļø Agentic AI / Autonomous Agents\nā˜‘ļø ā€œVibe Codingā€ / AI-first / prompt-driven dev workflows\nā˜‘ļø Explainable AI / Ethical, Sustainable AI\nā˜‘ļø Edge AI / On-device / Federated Learning\n\nā˜‘ļø Web Scraping\nā˜‘ļø Data Extraction\nā˜‘ļø Data Scraping\nā˜‘ļø Scrapy\nā˜‘ļø Selenium\nā˜‘ļø Beautiful Soup\nā˜‘ļø Requests\nā˜‘ļø Deployment and scheduling the scraping scripts on server\nā˜‘ļø PostHog / Mixpanel / Amplitude / Segment (Twilio Segment)\nā˜‘ļø OpenTelemetry (Datadog / Grafana / Sentry\nā˜‘ļø LaunchDarkly / GrowthBook / VWO / Optimizely / Klaviyo\nā˜‘ļø Airbyte / Fivetran / DBT\nā˜‘ļø Auth0 / Clerk / SuperTokens / Google Auth\nā˜‘ļø Stripe / Paddle\nā˜‘ļø Plaid\n\nAI + Analytics Integrations\nā˜‘ļø LangSmith / LangFuse – Observability and evaluation layer for LLM apps.\nā˜‘ļø Weaviate / Pinecone / Qdrant – Vector DBs for AI features with analytics hooks.\nā˜‘ļø Whylabs / Arize AI – ML observability & monitoring (similar to PostHog but for models).\n\nI am a Fullstack AI Developer - Python Django, React, Flask, API Integration\n\nI can help you to build:\n\n⚔ Fast MVP Development (AI-Powered) āœ…\n⚔ AI Powered SAAS Applications āœ…\n⚔ AI Agent RAG Systems | AI Chatbots āœ…\n⚔ Open AI API Integrations / LLM āœ…\n⚔ Full stack Development (AI/ML, Django, React) āœ…\n⚔ AI Workflows Automation\n⚔ Voice AI tools\n\nThank you for visiting my profile. Looking forward to working with you!\n\nI will šŸ’²REFUND šŸ’², if your expectation wont meet. For reference, you can see my work and testimonials below. Lets Chat!",
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      "description": "6+ years experience | 40+ Full Stack & AI projects | CS Major | Only 5-star reviews ⭐⭐⭐⭐⭐\n\nYour AI demo worked. Production failed. That's the gap I close.\n\nI'm an AI Developer: production LLM systems – AI saas, AI agents, RAG pipelines and MCP servers – in Python and TypeScript, with 6+ years shipping software.\n\nš— š—¬ š—§š—Ŗš—¢ š—•š—˜š—¦š—§ š—•š—Øš—œš—Ÿš——š—¦\n\n1. Trust & Growth – Aura Group, Sweden\n\nAn internal AI product used daily by thousands of the firm's consultants. A RAG system that reads financial filings, news, reviews and market data on publicly traded companies and scores them on trustworthiness and expected growth – every answer cited, so a consultant can verify it before acting. That's enterprise AI Developer work as it actually exists: not a demo, a tool people make decisions with.\n\n2. Nesoi – AI-native learning platform (nesoi.ai)\n\nFounding engineer and first AI Developer on the team, zero to production. The platform turns documents, decks and video into interactive lessons with a real-time AI instructor that adapts pace, language and delivery per learner, across 130+ languages. Live adaptive AI is unforgiving – there is no retry queue when a learner is mid-lesson.\n\nOther systems I've shipped as an AI Developer:\n\n– Orchy AI – agent orchestration platform, end to end: create agents, configure tools, memory and guardrails, chain them into multi-agent workflows, trigger from Telegram or on a schedule\n– AI voice agents calling inbound leads in under 60 seconds – qualification, objection handling, booked straight into Google Calendar\n– Speed-to-lead systems: form submission → AI call → WhatsApp → booked appointment, no human in the loop\n– 100K+ documents through OCR + RAG pipelines\n\nWHERE I DELIVER AS AN AI DEVELOPER\n\nš—”š—œ š—”š—“š—²š—»š˜ š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ – LangChain, LangGraph and custom orchestration: tool calling, memory, guardrails, multi-agent handoff, error handling, observability and evals. This is where an AI Developer earns the title – anyone can call an API, few can keep an agent stable.\n\nš— š—–š—£ š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ – custom MCP servers connecting your APIs, databases and internal tools to Claude, Claude Code, ChatGPT and Cursor. Most teams are stuck here, and few AI Developers have actually shipped one.\n\nš—„š—”š—š / š—Ÿš—Ÿš—  š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ – pgvector and Postgres retrieval: chunking strategy, hybrid search, reranking, grounded answers with citations. Retrieval that returns the right chunk rather than the nearest one is the line between an AI Developer and a prompt writer.\n\nš—˜š—»š˜š—²š—æš—½š—æš—¶š˜€š—² š—”š—œ š—œš—»š˜š—²š—“š—æš—®š˜š—¶š—¼š—» – OpenAI, Claude and open models dropped into products that already have users, without breaking what already works. AI Developer work for teams where downtime has a cost.\n\nš—£š˜†š˜š—µš—¼š—» š—”š—œ š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ – FastAPI, Django, PostgreSQL, Redis, Celery, background workers, RBAC, clean REST APIs. The backend the AI layer sits on, built by the same person.\n\nš—”š—œ š—©š—¼š—¶š—°š—² š—”š—“š—²š—»š˜ š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ – Vapi, Retell, ElevenLabs, SIP and phone integration, CRM-connected inbound and outbound calling.\n\nš—™š˜‚š—¹š—¹-š—¦š˜š—®š—°š—ø š—”š—œ š——š—²š˜ƒš—²š—¹š—¼š—½š—²š—æ, š—»š—¼ š—µš—®š—»š—±-š—¼š—³š—³š˜€ – React/Next dashboards, admin panels and internal tools, so one owner carries it from agent logic to the screen the user sees.\n\nš—›š—¢š—Ŗ š—œ š—•š—Øš—œš—Ÿš——\n\nMost AI projects fail in the same place: the demo works, production doesn't. Retrieval returns the wrong chunk. The agent loops. The model updates and outputs drift. Building for thousands of daily enterprise users teaches you that an AI Developer's real job is month six, not launch day – logging, evals, fallbacks, retries, human review where it matters, and regression tests that prove the system still works after the next model release.\n\nAgents: langchain, langgraph, mcp server, tool calling, function calling, multi-agent systems, agentic workflows, prompt engineering, rag pipeline, retrieval augmented generation, evals, observability.\n\nStack: python, fastapi, django, typescript, nextjs, react, nodejs, postgres, pgvector, redis, docker, aws, gcp, cloudflare, stripe, playwright.\nModels & integrations: openai api, anthropic claude api, claude code, n8n, make, airtable, hubspot, gohighlevel, slack, whatsapp business api, telegram.\n\nš—›š—¢š—Ŗ š—œ š—Ŗš—¢š—„š—ž\n\n- Free scoping call – you talk to the AI Developer building it, not an account manager\n- Architecture and an honest cost before any code\n- You own the code – your repo, your infrastructure, no lock-in\n- Documented, logged and supported after launch; retainers welcome\n\nšŸ¤ Need an AI Developer who has shipped at enterprise scale? Send a message or an invitation and I'll record you a personalised Loom showing exactly how I'd build your system.\n\nAI Developer, AI integration, Python AI Developer, OpenAI developer, LangChain developer, MCP developer, RAG, vector database, LLM, AI agents, chatbot development, machine learning, API integration",
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      "description": "I'm an Agentic AI Engineer who builds production RAG systems, LLM agents, and AI automation in Python/FastAPI & OpenAI.\n\nAI developers can wire up an OpenAI API call. The gap is everything after: retrieval that returns the right context, agents that don't loop, evals that catch regressions, and knowing when an answer should be generated versus when it has to be correct every single time. That last one is live in my current build, a RAG system paired with a deterministic rules engine in FastAPI, because some answers you generate and some you guarantee.\n\nWhat I build:\nRAG systems & AI chatbots involving retrieval-augmented generation over your documents and data, vector databases (Pinecone, pgvector, FAISS), chunking, reranking, citation-backed answers, and \"chat with your documents\" assistants that don't hallucinate.\n\nAI agents & LLM applications including LangChain, LangGraph, CrewAI, multi-agent workflows, tool calling, memory, human-in-the-loop, MCP; custom LLM integrations, prompt engineering, structured extraction, summarization, and document processing; OpenAI, Anthropic Claude, Gemini, Llama\n\nAI & CRM automation involving custom automation in Python (and n8n where it fits) replacing manual workflows; agentic reporting and CRM integration, including a Zoho CRM reporting agent I'm building now\n\nAI voice & conversational agents including Vapi.ai, ElevenLabs, Twilio; appointment booking, support, and lead-capture agents with natural turn-taking\n\nAI-powered SaaS products: full AI features shipped into real products: recruiting platforms, marketplaces, and document-generation apps, with AI in the core workflow\n\nBuilt on Python/FastAPI with PostgreSQL, Docker, and AWS/GCP. the layer these systems actually run on.\n\nDelivered work:\nAI-integrated recruiting platform replaced a manual, spreadsheet-driven candidate process with automated screening and workflows end to end, cutting hiring time from 2 weeks to 3 days. Client-endorsed: \"Accountable for Outcomes.\"\n\nAI document-generation web app eliminated hours of manual drafting by generating structured, ready-to-send documents on demand\n\nAI concierge for a peer-to-peer marketplace, 50+ AI integrations handling user support and routing, running in production since launch\n\nRAG system scaled to 100K+ documents with tuned retrieval, not a demo-sized prototype\nAI voice agents (Vapi.ai, ElevenLabs, Twilio) under 500ms response latency for natural, smooth turn-taking in booking and support calls\n\nLLM-powered storytelling engine for a mobile app, built the core generative feature the product is built around\n\nI design the architecture before writing code, because AI projects fail on architecture, weak retrieval, no evals, integrations that break when a provider ships an API change far more than on syntax. I reply in hours, send working builds instead of status updates, and stay until it's stable.\n\nSend me an INVITE or MESSAGE me with the messy version, a half-built RAG pipeline, a stalled AI project, an AI feature bolted onto an existing web app that never shipped, a previous dev who vanished. Rescue and takeover work is some of what I do best. I'll audit it and tell you within a day whether it's buildable, what it costs, and how long it takes.",
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      "description": "Top Rated Plus | 100% Job Success | 14+ years building production software\n\nI take AI products from \"demos well\" to \"runs the business\" — and connect them to the systems your company already depends on.\n\nMost of my clients come to me at one of two moments:\n\n1. You have an AI prototype (built in Lovable, Replit, Cursor, Claude Code or similar) that works in a demo but breaks on real data, real users or real scale. I audit it, fix the architecture, add evaluation and monitoring, and ship it to production.\n\n2. Your data is trapped across tools — Shopify, an ERP, a CRM, accounting, a 3PL — and your team is copying it by hand. I build the integration layer and the AI agents that work on top of it.\n\nWHAT I BUILD\n- AI agents and automations: Claude API, OpenAI API, MCP servers, RAG pipelines, LangChain, n8n, with evals so you know answers are correct\n- Integrations: Shopify (Admin GraphQL/REST, webhooks, custom apps), ERP and inventory systems (Brightpearl, Cin7, 3PL/WMS), CRMs (HubSpot, Salesforce), accounting (QuickBooks, Xero)\n- Production SaaS: Next.js, React, Node.js, Python (FastAPI/Django), PHP/Laravel, PostgreSQL, AWS\n- Fractional technical leadership: architecture reviews, production-readiness audits, tech-stack decisions for founders\n\nRECENT WORK (client names confidential)\n- Shopify to ERP / 3PL order, inventory and pricing sync for multi-store e-commerce brands\n- Real-time GPS telemetry platform for a dispatch operation running 3,200+ trucks\n- Compliance and document-intelligence features for a MedTech quality-management SaaS\n- Fleet breakdown dispatch platform and a multi-tier CRM/dialer SaaS\n\nHOW I WORK\nI start with a short paid audit or discovery milestone: you get a written assessment, a fixed-scope plan and clear milestones before any large commitment. Many of my client relationships have run for 5+ years.\n\nIf you have an AI prototype that needs to become a real product, or systems that need to talk to each other, send me a message with what you're working on.",
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      "name": "Bilal B.",
      "title": "Full Stack & AI Developer | AI SaaS, Agents, RAG, Automation | Python",
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      "description": "I help start-ups, SaaS companies, and product teams build production-ready AI SaaS platforms, AI agents, RAG systems, and full-stack applications from architecture to deployment.\n\nIf your AI prototype is becoming difficult to maintain, your RAG system gives unreliable answers, your agents fail on real-world edge cases, or you're tired of coordinating separate frontend, backend, AI, and DevOps developers, I can take ownership of the complete product.\n\nWith 8+ years of software development experience, my focus is not simply getting a feature to \"work.\" I build systems that are secure, maintainable, scalable, observable, and ready for actual customers.\n\nWhat I can help you build:\n\nāœ” AI SaaS & AI MVP Development\nProduction-ready SaaS products with authentication, subscriptions, dashboards, multi-tenancy, APIs, databases, admin panels, Stripe billing, and AI functionality.\n\nāœ” AI Agents & Agentic Workflows\nAI agents that research, reason, call tools/APIs, process documents, automate workflows, interact with CRMs, and escalate to humans when required.\n\nāœ” RAG & Knowledge-Based AI\nReliable RAG pipelines, document intelligence, semantic search, embeddings, vector databases, citations, retrieval optimization, and guardrails designed to reduce hallucinations.\n\nāœ” LLM & Generative AI Integration\nOpenAI, Claude, Gemini, LangChain, LangGraph, function calling, structured outputs, prompt engineering, tool use, and custom AI workflows integrated into existing products.\n\nāœ” Full-Stack SaaS Development\nReact, Next.js, TypeScript, Node.js, NestJS, Express, Python/FastAPI, PostgreSQL, MongoDB, Supabase, Redis, REST APIs, GraphQL, WebSockets, and background jobs.\n\nāœ” Voice AI & Conversational AI\nAI chatbots, customer-support agents, lead qualification systems, Twilio/Vapi integrations, voice workflows, human handoff, CRM integration, and appointment automation.\n\nāœ” Existing Product & AI Prototype Rescue\nAlready built something with Lovable, Cursor, Claude Code, Replit, Bolt, or another AI coding tool? I can review the architecture, remove technical debt, fix security/performance issues, and turn the prototype into maintainable production software.\n\nThe problems I usually solve\n\n- A SaaS MVP needs to launch quickly without creating a codebase that must be rewritten six months later.\n\n- An existing web application needs OpenAI, Claude, RAG, AI agents, or automation integrated properly.\n\n- An AI prototype works in demos but becomes unreliable with real data and real users.\n\n- A founder needs one technical owner who understands frontend, backend, databases, APIs, AI, cloud deployment, and product architecture.\n\n- A business wants to automate repetitive operations without depending on fragile workflows.\n\n- A growing application needs better performance, security, monitoring, testing, or scalability.\n\nHow I build\n\nI use AI-assisted engineering tools such as Claude Code, Cursor, Windsurf, and GitHub Copilot to move faster, but speed never replaces engineering discipline.\n\nProjects are built around clean architecture, reusable components, secure authentication, database design, error handling, logging, testing, documented APIs, CI/CD, monitoring, and production deployment.\n\nYou get clear communication, practical technical decisions, regular progress updates, clean repositories, documentation, and a system another experienced developer can understand and extend.\n\nCore Technology Stack\n\nAI & LLMs: OpenAI, Claude, Gemini, LangChain, LangGraph, RAG, Embeddings, Vector Search, AI Agents, Generative AI\n\nFrontend: React, Next.js, TypeScript, JavaScript, Tailwind CSS\n\nBackend: Node.js, NestJS, Express.js, Python, FastAPI, REST API, GraphQL, WebSockets\n\nDatabases: PostgreSQL, MongoDB, Supabase, Redis, pgvector\n\nCloud & DevOps: AWS, Vercel, Docker, GitHub Actions, CI/CD, Sentry\n\nIntegrations: Stripe, Twilio, Vapi, n8n, Webhooks, CRM APIs, third-party APIs\n\nBest fit\n\nI am a strong fit if you are building an AI SaaS product, AI MVP, RAG application, AI agent platform, automation system, or scalable full-stack application, or if you already have a prototype that needs to become production-ready.\n\nSend me your project brief or existing architecture. I will tell you what I would build, what I would avoid, and the fastest sensible path to production.\n\nSKILLS:\n\nFull-Stack Development Ā· AI Development Ā· AI Agent Development Ā· SaaS Development Ā· Retrieval Augmented Generation Ā· Large Language Model Ā· Generative AI Ā· OpenAI API Ā· Claude Ā· Next.js Ā· React Ā· Node.js Ā· TypeScript Ā· Python Ā· FastAPI Ā· API Integration Ā· PostgreSQL Ā· Supabase Ā· Web Services Ā· n8n",
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      "name": "Mykhailo D.",
      "title": "Full-Stack Developer AI Developer AI Integration AI-powered React AI",
      "link": "https://www.upwork.com/freelancers/~01b46d301b6827ab0c",
      "description": "ā­ļøā­ļøā­ļøAI-powered solutions. OpenAI integrations. Machine learning capabilities. Business automation.\n\nšŸ’” 116 production-grade products shipped (SaaS, MVPs, AI systems, marketplaces)\nšŸ’° $17.2M+ revenue generated for client products\nšŸ‘„ 168K+ active users powered by systems I built\n⚔ 1.15M+ API requests/month at 99.9% uptime\nšŸš€ MVP → production in 2–6 weeks, built to scale from day one\n\nšŸ”„ WHY SHOULD YOU HIRE ME\n\n10+ years as an AI Full-Stack Developer, AI Developer, OpenAI Developer, AI Integration Developer, Full Stack Developer, React Developer, and Python Developer delivering SaaS Platforms, AI Products, AI Agents, MVPs, Automation Systems, Marketplace Platforms, CRM Systems, and Enterprise Web Applications.\n\n116+ production products shipped as AI Developer, AI Full-Stack Developer, React Developer, and Full Stack Developer.\n$17.2M+ client revenue generated through products built with AI Integration, OpenAI API, React, Node.js, Python, PostgreSQL, AWS, and modern cloud architecture.\n43+ SaaS Platforms delivered as AI Full-Stack Developer and Full Stack Developer using React.js, Next.js, TypeScript, Node.js, Python, PostgreSQL, Supabase, AWS, and AI Integration.\n27+ backend systems developed as Full Stack Developer, Python Developer, and AI Developer with REST API, GraphQL, Node.js, Python, Django, FastAPI, PostgreSQL, Redis, authentication, and cloud infrastructure.\n13+ AI Products delivered as AI Developer, OpenAI Developer, AI Integration Developer, and Agentic AI Developer using OpenAI API, Claude API, LLM, LangChain, RAG, Vector Databases, AI Agents, AI Chatbots, and automation.\n33+ production frontend applications built as React Developer and AI Full-Stack Developer including SaaS dashboards, admin panels, customer portals, analytics platforms, AI interfaces, and internal business tools.\n16+ Marketplace Platforms delivered as Full Stack Developer and AI Full-Stack Developer with payments, subscriptions, search, automation, AI features, and scalable architecture.\n\nšŸ”„ AI DEVELOPMENT & AI INTEGRATION\n\nAs an AI Developer, I build AI-powered SaaS, AI Chatbots, AI Agents, AI Assistants, AI Copilots, RAG Chatbots, knowledge bases, document processing systems, recommendation systems, and intelligent business workflows.\n\nAs an OpenAI Developer, I integrate OpenAI API, GPT models, embeddings, structured outputs, function calling, tool use, AI assistants, and LLM workflows into production applications.\n\nAs an AI Integration Developer, I connect AI with CRMs, databases, APIs, Airtable, Slack, Google Workspace, Stripe, Shopify, internal tools, documents, and business workflows.\n\nAs an Agentic AI Developer, I build AI Agent workflows with LangChain, RAG, vector search, tools, memory, API integrations, automation, logging, fallback logic, and human-in-the-loop workflows.\n\nAs an AI Full-Stack Developer, I build the complete product around AI: React frontend, Next.js applications, Python or Node.js backend, APIs, databases, authentication, AI Integration, deployment, monitoring, and scaling.\n\nšŸ”„ INDUSTRIES I SERVE\nšŸ¤– AI Startups - 13+ AI Products, OpenAI API, Claude API, LLM, RAG, AI Agents, LangChain, Vector DB, AI Chatbots, AI Automation.\nšŸ„ Healthcare & MedTech - 8+ Patient Platforms, Telehealth, Clinic Management SaaS, secure data workflows, dashboards, AI Integration.\nāš–ļø LegalTech - 6+ Case Management Systems, Document Workflows, Client Portals, Compliance SaaS, AI document processing.\nšŸ“¦ Logistics & Supply Chain - 5+ Logistics Platforms, real-time tracking, Project44, INTTRA, EDI, automation and analytics.\nšŸ›’ Marketplace & Ecommerce - 15+ Marketplace Platforms, B2B Marketplace, Two-Sided Marketplace, Stripe, bidding, search, AI recommendations.\nšŸ’¼ Enterprise SaaS - 10+ Form Builders, Admin Dashboards, Internal Tools, Microservices, Multi-tenant applications, AI workflow automation.\nšŸ  Real Estate & PropTech - Property Listings, Auctions, Agent Dashboards, CRM, AI search and automation.\n\nšŸ”„ RESULTS DELIVERED\nāœ” 36% fewer bugs through scalable architecture and production-ready development\nāœ” 42% faster frontend performance through React and Next.js optimization\nāœ” 31% conversion improvement through better UX and AI-powered workflows\nāœ” 40–60% lower backend latency through Node.js, Python, database and API optimization\nāœ” 5–8 weeks faster MVP delivery as an AI Full-Stack Developer\n\nšŸ”„ TECH STACK\n\nAI: OpenAI API, OpenAI Developer, Claude API, LLM, LangChain, RAG, AI Agents, Agentic AI, AI Chatbot, AI Assistant, AI Copilot, Vector Database, Embeddings, AI Automation, Machine Learning.\nBackend: Python, Django, FastAPI, Node.js, Express.js, NestJS, REST API, GraphQL, WebSockets, Celery, Redis.\nFrontend: React.js, ReactJS, Next.js, TypeScript, JavaScript, Redux, Zustand, Tailwind CSS, shadcn/ui.\nDatabase: PostgreSQL, Supabase, MongoDB, MySQL, Prisma, Redis, Vector DB.\nCloud: AWS, Lambda, EC2, S3, CloudFront, Docker, CI/CD, Vercel, Cloudflare.\nAutomation: n8n, Zapier, Make, Airtable, Slack API, Google Workspace, Stripe",
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  "cost_guide": {
    "title": "How much does hiring an AI developer cost?",
    "summary": "Hiring an AI developer generally costs $30-$150 per hour on Upwork, depending on project scope and complexity.\nThis table breaks down typical pricing for common AI development project types so you can budget accordingly:",
    "rows": [
      {
        "project_type": "Chatbot / virtual assistant",
        "cost_range": "$1,000-$5,000",
        "cost_unit": "/project",
        "experience_level": "Intermediate",
        "deliverables": [
          "Custom chatbot with intent recognition",
          "Integration with Slack, Teams, or website widget",
          "Training data preparation and testing"
        ]
      },
      {
        "project_type": "ML model training",
        "cost_range": "$3,000-$10,000",
        "cost_unit": "/project",
        "experience_level": "Expert",
        "deliverables": [
          "Data cleaning and feature engineering",
          "Model selection, training, and hyperparameter tuning",
          "Performance evaluation report with accuracy metrics"
        ]
      },
      {
        "project_type": "AI integration",
        "cost_range": "$2,000-$8,000",
        "cost_unit": "/project",
        "experience_level": "Intermediate to expert",
        "deliverables": [
          "API integration with OpenAI, Claude, or Gemini",
          "Custom prompt engineering and output formatting",
          "Error handling and rate-limit management"
        ]
      },
      {
        "project_type": "Custom AI application",
        "cost_range": "$5,000-$25,000",
        "cost_unit": "/project",
        "experience_level": "Expert",
        "deliverables": [
          "End-to-end AI-powered web or mobile application",
          "Model training, deployment, and monitoring setup",
          "User-facing dashboard with real-time predictions"
        ]
      },
      {
        "project_type": "AI automation workflow",
        "cost_range": "$1,500-$6,000",
        "cost_unit": "/project",
        "experience_level": "Intermediate",
        "deliverables": [
          "Automated document processing with OCR and NLP",
          "AI-driven email classification and routing",
          "Workflow triggers and reporting dashboards"
        ]
      }
    ]
  },
  "hiring_guide": "AI developers build the intelligent systems that help businesses automate decisions, extract insights from data, and create new products powered by machine learning and generative AI. From predictive analytics in healthcare to recommendation engines in e-commerce, these professionals turn raw data into measurable business outcomes across every industry.\nWhat does an AI developer do?\nAn AI developer designs, builds, and deploys systems that learn from data and make predictions or decisions without explicit programming. Their work spans the full life cycle of an AI project — from defining the problem and preparing datasets to training models, evaluating performance, and integrating finished solutions into production environments. These professionals often collaborate with data scientists, back-end developers, and cloud specialists to bring intelligent features to digital products.\nCommon responsibilities for AI developers include:\nBuilding and training machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn\n\nDesigning natural language processing (NLP) pipelines for chatbots, content generation, and text analysis\n\nDeveloping computer vision systems for image recognition, object detection, and video analysis\n\nCreating data pipelines that clean, transform, and prepare datasets for model training\n\nDeploying trained models to cloud platforms and monitoring their accuracy over time\n\nHow to hire an AI developer on Upwork\nUpwork gives you a structured process for finding, evaluating, and working with AI developers. Follow these four steps to go from a project idea to a working engagement.\nStep 1: Post a job\nStart with a clear AI developer job description that specifies the AI frameworks your project requires (such as TensorFlow, PyTorch, or Hugging Face) and the programming languages involved (Python, R, or Julia). Include details about the dataset size, the type of model you need, and any deployment requirements.\nSpecify whether the project involves NLP, computer vision, predictive modeling, or generative AI\n\nList the cloud platforms your team uses (AWS, Google Cloud, or Azure) so candidates can confirm their experience\n\nDefine milestones, such as data preparation, model training, evaluation, and deployment\n\nMention whether you need ongoing model maintenance or a one-time build\n\nShare your expected budget and timeline\n\nUse the Job Post Generator, powered by Umaā„¢, Upwork's Mindful AI, to speed things up. Describe what you need in a few sentences, and Uma will draft a job post for AI developers. On average, clients receive their first proposal within three hours of posting a job.\nStep 2: Evaluate candidates\nReview each candidate's portfolio for completed AI projects that match your use case. Look for published models, GitHub repositories with clean code, and demonstrated experience with the specific ML frameworks your project requires.\nCheck for hands-on experience with your target frameworks — TensorFlow, PyTorch, scikit-learn, or LangChain\n\nReview any certifications in machine learning, deep learning, or cloud AI services\n\nAsk for sample outputs or case studies that show measurable results (accuracy improvements, latency reductions, or cost savings)\n\nLook at their Job Success Score and client reviews for past AI projects on Upwork\n\nUma can conduct instant video interviews and provide candidate shortlists with side-by-side comparisons, so you can move quickly without losing rigor in your evaluation.\nStep 3: Interview your top choices\nFocus your interviews on technical depth and problem-solving ability. Ask candidates how they'd approach your specific dataset and business problem rather than relying on generic questions. For suggestions, explore the AI developer interview questions page.\nAsk how they'd handle imbalanced datasets, overfitting, or noisy data in your domain\n\nDiscuss their approach to model evaluation — which metrics they'd prioritize and why\n\nReview their experience with model deployment and monitoring in production\n\nTalk through data privacy and security practices, especially if your project involves sensitive information\n\nYou can schedule interviews directly within Upwork Messages, and you'll get an immediate transcript and summary of each conversation.\nStep 4: Agree on scope and begin work\nDefine a contract with clear milestones that map to your AI project's natural phases. This structure keeps both sides aligned on progress and deliverables.\nSet milestones for each phase — data collection, preprocessing, training, testing, and integration\n\nAgree on success metrics (accuracy thresholds, response times, or error rates) before work begins\n\nDefine ownership of source code, prompts, models, datasets, and documentation\n\nClarify responsibilities for deployment, monitoring, and post-launch support\n\nSpecify secure methods for sharing datasets, API keys, and cloud credentials\n\nUse Upwork Messages and the contract workroom for file sharing, milestone tracking, and ongoing communication. Take advantage of identity verification, payment protection, hourly tracking, and project funds to keep the engagement secure.\n\nUpwork 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.\nThe 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.",
  "faq": [
    {
      "question": "Is hiring an AI developer worth it?",
      "answer": "Yes, if you're building AI-powered products or adding intelligent features to existing applications, hiring an AI developer can be a worthwhile investment. AI developers can build custom chatbots, automate business processes, integrate large language models (LLMs), and create AI-driven features such as recommendations, search, and content generation that directly reduce cost or increase revenue. They can also help you choose the right models, optimize performance, and deploy AI solutions that scale with your business.\nOn Upwork, 89% of first-time clients complete a contract (2025), which speaks to the quality of talent available on the platform — and the ROI of investing in the right professional for your AI project."
    },
    {
      "question": "What's the difference between an AI developer and a machine learning engineer?",
      "answer": "An AI developer works across the full spectrum of artificial intelligence — including NLP, computer vision, and generative AI — while a machine learning engineer focuses specifically on building, training, and optimizing ML models and the data pipelines that support them."
    },
    {
      "question": "What types of AI projects can a freelance developer handle?",
      "answer": "Freelance AI developers handle projects ranging from chatbot development and sentiment analysis to recommendation engines, predictive modeling, document automation, and custom generative AI applications."
    }
  ],
  "related_skill_pages": [
    {
      "title": "Pattern Recognition Specialists",
      "link": "https://www.upwork.com/hire/pattern-recognition-freelancers/"
    },
    {
      "title": "Object Detection Specialists",
      "link": "https://www.upwork.com/hire/object-detection-specialists/"
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    {
      "title": "LLM Developers",
      "link": "https://www.upwork.com/hire/large-language-model-specialists/"
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    {
      "title": "AI Researchers",
      "link": "https://www.upwork.com/hire/ai-researchers/"
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      "link": "https://www.upwork.com/hire/imageobject-recognition-freelancers/"
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    {
      "title": "OCR Algorithms Specialists",
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    {
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      "link": "https://www.upwork.com/hire/ai-enhanced-classification-specialists/"
    },
    {
      "title": "PyTorch Specialists",
      "link": "https://www.upwork.com/hire/pytorch-specialists/"
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    {
      "title": "Deep Neural Networks Developers",
      "link": "https://www.upwork.com/hire/deep-neural-networks-freelancers/"
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    {
      "title": "Sora AI Experts",
      "link": "https://www.upwork.com/hire/sora-ai-experts/"
    },
    {
      "title": "TensorFlow Specialists",
      "link": "https://www.upwork.com/hire/tensorflow-specialists/"
    },
    {
      "title": "OpenAI Embeddings Specialists",
      "link": "https://www.upwork.com/hire/openai-embeddings-specialists/"
    },
    {
      "title": "GPT-3 Specialists",
      "link": "https://www.upwork.com/hire/gpt-3-specialists/"
    },
    {
      "title": "TensorFlow Developers",
      "link": "https://www.upwork.com/hire/tensorflow-developers/"
    },
    {
      "title": "Computer Scientists",
      "link": "https://www.upwork.com/hire/computer-scientist/"
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    {
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      "link": "https://www.upwork.com/hire/ai-integration-developers/"
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