Hire the Best CrewAI Developers
Dhaka, Bangladesh
"๐๐จ๐๐ค ๐ฌ๐ญ๐๐ซ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ, ๐ซ๐๐๐ฅ๐ฅ๐ฒ ๐ ๐๐ญ๐ฌ ๐ญ๐จ ๐ค๐ง๐จ๐ฐ ๐ญ๐ก๐ ๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐ง, ๐๐ง๐ ๐๐ฑ๐๐๐ฎ๐ญ๐๐ฌ ๐ฐ๐ข๐ญ๐ก ๐ฏ๐๐ซ๐๐๐ข๐ญ๐ฒ!" โญโญ โญ โญ โญ ๐ โ ๐๐ฅ๐ข๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ฐ, ๐๐ ๐๐ ๐๐ง๐ญ ๐๐ซ๐จ๐ฃ๐๐๐ญ (๐๐๐ซโ๐๐ฉ๐ซ ๐๐๐๐) Hi, Iโm an AI Agent Developer with hands-on technical expertise and an MBA-trained strategic mindset. I build multi-agent LLM systems, RAG-powered assistants, and end-to-end automation pipelines that don't just function โ they scale. I donโt just build AI systems โ I align them with your growth goals, user experience, and ROI. Whether itโs an LLM-based assistant, a voice agent that drives revenue, or a full-stack multi-agent workflow โ I deliver end-to-end ownership from design to deployment. ๐ผ ๐๐ก๐๐ญ ๐ ๐๐๐ง ๐๐ฎ๐ข๐ฅ๐ ๐ ๐จ๐ซ ๐๐จ๐ฎ ๐ค ๐๐๐-๐๐จ๐ฐ๐๐ซ๐๐ ๐๐ ๐๐ ๐๐ง๐ญ๐ฌ (๐๐ซ๐๐ฐ๐๐, ๐๐๐ง๐ ๐๐ซ๐๐ฉ๐ก, ๐๐ฎ๐ญ๐จ๐ ๐๐ง, ๐๐ฉ๐๐ง๐๐ ๐๐๐) ๐ฃ๏ธ ๐๐จ๐ข๐๐ + ๐๐๐ญ๐ข๐จ๐ง ๐๐ ๐๐ง๐ญ๐ฌ (๐๐๐ฉ๐ข.๐๐ข, ๐๐ฅ๐๐ฏ๐๐ง๐๐๐๐ฌ, ๐๐๐๐ฉ๐ ๐ซ๐๐ฆ, ๐๐ฅ๐๐ฒ๐๐) ๐ ๐๐๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ (๐๐๐๐ + ๐๐๐ง๐ฌ๐ ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ, ๐๐ก๐ซ๐จ๐ฆ๐, ๐๐ข๐ง๐๐๐จ๐ง๐, ๐๐๐๐ฏ๐ข๐๐ญ๐, ๐๐๐ซ๐๐ง๐ญ) ๐งฉ ๐ ๐ฎ๐ฅ๐ฅ-๐๐ญ๐๐๐ค ๐๐ ๐๐ง๐ญ ๐๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ๐ฌ (๐ ๐๐ฌ๐ญ๐๐๐ + ๐๐๐๐๐ญ.๐ฃ๐ฌ + ๐๐ญ๐ซ๐๐๐ฆ๐ฅ๐ข๐ญ) ๐ ๐๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง (๐ง๐๐ง, ๐๐๐ฉ๐ข๐๐ซ, ๐๐๐ค๐.๐๐จ๐ฆ, ๐๐ข๐ซ๐ญ๐๐๐ฅ๐, ๐๐ฎ๐ฉ๐๐๐๐ฌ๐, ๐๐ข๐ฉ๐๐๐ซ๐๐๐ฆ) ๐ง ๐๐๐๐ญ๐จ๐ซ ๐๐๐๐ซ๐๐ก ๐๐ฉ๐ฉ๐ฌ (๐๐ฎ๐ฌ๐ญ๐จ๐ฆ ๐๐ฆ๐๐๐๐๐ข๐ง๐ ๐ฌ, ๐๐จ๐๐ฎ๐ฆ๐๐ง๐ญ ๐&๐, ๐ฆ๐๐ฆ๐จ๐ซ๐ฒ ๐๐ ๐๐ง๐ญ๐ฌ) ๐ ๐๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง-๐๐๐๐๐ฒ ๐๐๐ฌ๐ก๐๐จ๐๐ซ๐๐ฌ & ๐๐ ๐๐ง๐ญ ๐๐จ๐ง๐ข๐ญ๐จ๐ซ๐ฌ ๐งฐ ๐๐๐๐ก ๐๐ญ๐๐๐ค ๐ ๐ซ๐๐ฆ๐๐ฐ๐จ๐ซ๐ค๐ฌ: ๐๐ซ๐๐ฐ๐๐, ๐๐๐ง๐ ๐๐ก๐๐ข๐ง, ๐๐๐ง๐ ๐๐ซ๐๐ฉ๐ก, ๐๐ฎ๐ญ๐จ๐ ๐๐ง, ๐๐ ๐๐ง๐ญ๐๐, ๐๐ฉ๐๐ง๐๐ ๐๐๐, ๐๐๐ฉ๐ข.๐๐ข, ๐๐๐ค๐.๐๐จ๐ฆ, ๐๐๐ ๐๐ ๐๐ ๐๐ง๐ญ๐ฌ ๐๐๐ ๐๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ: ๐๐๐-๐, ๐๐ฅ๐๐ฎ๐๐, ๐๐๐ฆ๐ข๐ง๐ข, ๐๐ข๐ฌ๐ญ๐ซ๐๐ฅ, ๐๐ฉ๐๐ง๐๐จ๐ฎ๐ญ๐๐ซ, ๐๐ฅ๐ฅ๐๐ฆ๐ ๐๐๐๐ญ๐จ๐ซ & ๐๐๐ ๐๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ: ๐๐ข๐ง๐๐๐จ๐ง๐, ๐๐๐ซ๐๐ง๐ญ, ๐๐๐๐ฏ๐ข๐๐ญ๐, ๐๐ก๐ซ๐จ๐ฆ๐, ๐๐ข๐ฅ๐ฏ๐ฎ๐ฌ, ๐๐ฒ๐๐ซ๐ข๐ ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ (๐๐๐๐ + ๐๐๐ง๐ฌ๐) ๐ ๐ฎ๐ฅ๐ฅ ๐๐ญ๐๐๐ค ๐๐๐ฏ: ๐๐ฒ๐ญ๐ก๐จ๐ง, ๐ ๐๐ฌ๐ญ๐๐๐, ๐ ๐ฅ๐๐ฌ๐ค, ๐๐จ๐๐.๐ฃ๐ฌ, ๐๐๐๐๐ญ.๐ฃ๐ฌ, ๐๐๐ฑ๐ญ.๐ฃ๐ฌ, ๐๐๐ข๐ฅ๐ฐ๐ข๐ง๐ ๐๐๐, ๐๐ญ๐ซ๐๐๐ฆ๐ฅ๐ข๐ญ, ๐๐๐ข๐ฅ๐ฐ๐๐ฒ, ๐๐๐ซ๐๐๐ฅ ๐๐๐ฏ๐๐ฉ๐ฌ & ๐๐ง๐๐ซ๐: ๐๐จ๐๐ค๐๐ซ, ๐๐ฎ๐๐๐ซ๐ง๐๐ญ๐๐ฌ, ๐๐/๐๐ (๐๐ข๐ญ๐๐ฎ๐ ๐๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ข๐ญ๐๐๐), ๐๐๐, ๐๐๐, ๐๐ณ๐ฎ๐ซ๐ ๐ Business & Strategy โ MBA + Engineering Mindset: Deep understanding of market fit, cost-efficiency, and product-market alignment ๐ Results-Driven Development: 200%+ ROI, 40% reduction in operational costs, 6x content productivity ๐ฏ Roadmap-First Approach: I help startups and founders scope and sequence AI features with clear KPIs ๐งฉ Product Strategy Support: Go beyond coding โ get business insights, market positioning, and UX thinking baked into every build โ ๐๐ก๐ฒ ๐๐ฅ๐ข๐๐ง๐ญ๐ฌ ๐๐ก๐จ๐จ๐ฌ๐ ๐๐ ๐ผ ๐๐ญ๐ซ๐๐ญ๐๐ ๐ข๐ + ๐๐๐๐ก๐ง๐ข๐๐๐ฅ ๐๐ฐ๐ง๐๐ซ๐ฌ๐ก๐ข๐ฉ ๐งฉ ๐๐จ๐๐ฎ๐ฅ๐๐ซ & ๐๐๐๐ฅ๐๐๐ฅ๐ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐ฎ๐ซ๐ ๐ฌ ๐ ๐๐ฌ๐ญ ๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐๐๐ญ๐ข๐จ๐ง, ๐๐ฅ๐๐๐ซ ๐๐ฅ๐๐ง๐ง๐ข๐ง๐ ๐ ๐๐จ๐ง๐๐ข๐๐๐ง๐ญ๐ข๐๐ฅ๐ข๐ญ๐ฒ ๐๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐, ๐๐ง๐ญ๐๐ซ๐ฉ๐ซ๐ข๐ฌ๐-๐๐๐๐๐ฒ ๐๐๐ฅ๐ข๐ฏ๐๐ซ๐ฒ Letโs build your agent the right way โ from prototype to production.
- Artificial Intelligence
- Machine Learning Model
- Machine Learning
- Data Analysis
- AI Agent Development
- LangChain
- AI Development
- AI App Development
- AI Chatbot
- n8n
- AI Video Generation
- AI Content Creation
- Python
- Amazon Bedrock
- LLM Prompt Engineering
Lahore, Pakistan
Most people building AI products right now are stuck at the prototype stage. The chatbot works in a notebook, the agent runs on a laptop, and then it hits real traffic and falls apart. That gap between demo and production is exactly where I work. I spent the last few years as the lead AI engineer at a KYC company where the system could not afford to fail. 100,000+ identity verifications a day, enterprise clients in regulated industries, strict SLA requirements. I built and ran the entire AI pipeline there: document OCR, computer vision models, LLM-based extraction, the inference infrastructure behind all of it. At one point I took the GPU bill from $20K/month down to $7.5K without touching accuracy, just by rearchitecting how LLM inference was served. That kind of work teaches you to think about AI very differently than someone who has only ever built demos. Right now I am focused on freelance AI projects. Specifically: โ๏ธChatbots that actually work: RAG-powered, grounded in your data, not hallucinating nonsense. Built with GPT-4o, Claude, or open-source models depending on your budget and privacy needs. โ๏ธAI agents that do real things: browse, search, write, call APIs, make decisions. Not just a prompt chain. Actual autonomous workflows using LangGraph, CrewAI, or AutoGen. โ๏ธLLM backends that scale: if you have something working small and need it to handle real load without breaking the bank, that is a problem I have solved before. โ๏ธDomain-specific AI for fintech, healthcare, and edtech: I have built financial dashboards with AI insights, patient management systems, and adaptive learning tools. I understand the constraints in each of these spaces. I do not take on work I cannot do well. If you send me a project and it is not a fit, I will tell you. If it is a fit, I will move fast, communicate clearly, and deliver something you can actually use. If you are building something real in AI and need someone who has been in the engine room of a large production system, let's talk.
- Machine Learning
- Python
- Data Science
- Natural Language Processing
- Deep Learning
- Docker
- Artificial Intelligence
- LLM Prompt
- Claude
- YOLO
- AI Model Training
- Git
- AI Agent Development
- OpenAI API
- GPT-4o
- Computer Vision
- OCR Software
- AI Model Development
- Chatbot Development
- Vector Database
Karachi, Pakistan
๐ก FREE AI / Backend / Automation Audit + Scalable Roadmap Before We Start Most AI and automation projects fail not because of bad ideasโฆ But because the backend, agent architecture, or workflow system wasn't built to scale. โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐จ IF YOU ARE STRUGGLING WITH: โค AI agents that don't work reliably in production โค n8n workflows that break or can't scale โค GHL systems that are messy or not converting โค RAG pipelines with hallucinations or slow retrieval โค Backend APIs that fail under load โค AI ideas stuck in prototype phase ๐ YOU ARE IN THE RIGHT PLACE. โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ WHAT I BUILD I build production-ready AI systems, agentic workflows, and scalable automation infrastructure. โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ค AI AGENT & LLM DEVELOPMENT โค Multi-agent systems (LangChain, LangGraph, CrewAI) โค RAG pipelines with vector databases (Pinecone, pgvector, Chroma) โค LLM integration (OpenAI, Claude, Gemini) โค Tool calling & function execution โค Prompt engineering for production reliability โค AI agents with memory and context management โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ๏ธ n8n & WORKFLOW AUTOMATION โค Complex n8n workflows with error handling & retry logic โค API integrations (REST, webhooks, OAuth) โค Self-hosted n8n deployment โค Webhook orchestration & event-driven automation โค Human-in-the-loop approval workflows โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ GHL (GoHighLevel) EXPERTISE โค GHL workflow automation (pipelines, triggers, actions) โค CRM automation & lead management โค GHL + API integrations (webhooks, custom APIs) โค AI voice agent integration (Retell, Vapi) with GHL โค SaaS mode setup & white-label systems โค Funnel & automation optimization โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ BACKEND ENGINEERING โค Python (FastAPI) โ high-performance APIs โค PostgreSQL with vector extensions (pgvector) โค Async systems & background workers โค Docker, cloud deployment (AWS/GCP) โค Secure authentication (JWT, OAuth) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ฆ WHAT YOU GET When we work together, you receive: โค Production-ready AI agents and workflows โค Clean, documented, maintainable code โค Error handling, logging, and monitoring โค Loom walkthroughs + written documentation โค Systems built to scale from day one โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ EXPERIENCE & RESULTS โค 10+ years backend & SaaS development โค 70+ successful Upwork projects โค Top Rated Plus | $60K+ earned โค Built production AI agents, RAG systems, automation pipelines โค Long-term partnerships with startups & agencies โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ ๏ธ TECH STACK (by demand) High Demand (Lead with these): Python โข LangChain/LangGraph โข n8n โข GoHighLevel โข OpenAI/Claude API โข RAG โข Vector Databases (Pinecone/pgvector) โข FastAPI โข PostgreSQL Supporting: Laravel โข Docker โข AWS/GCP โข Redis โข React/Next.js โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ฏ INDUSTRIES I WORK WITH โค AI-first SaaS startups โค Marketing agencies (GHL users) โค E-commerce & D2C brands โค Real estate & PropTech โค Healthcare & legal tech โค Fintech & payment systems โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ฉ HOW WE START 1. You message me with your current challenge 2. I audit your system (AI / backend / GHL / n8n) โ FREE 3. You get a clear, actionable roadmap 4. We build the right solution โ the first time โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ Most developers just build features. I build systems that work reliably in production. ๐ MESSAGE ME NOW FOR YOUR FREE AI / BACKEND / AUTOMATION ROADMAP โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ KEYWORDS (for Upwork algorithm): ai agent developer, n8n expert, python backend developer, gohighlevel expert, langchain, rag system, ai automation, workflow automation, ghl automation, agentic ai, llm integration, openai api, claude api, fastapi, vector database, multi-agent systems, production ai
- Artificial Intelligence
- Machine Learning
- AI Agent Development
- n8n
- HighLevel
- Chatbot Development
- LangChain
- OpenAI API
- CRM Automation
- API Integration
- Automated Workflow
- AI Bot
- AI Chatbot
- AI Platform
- Generative AI
- AI Development
- Full-Stack Development
- Machine Learning Model
- AI App Development
- Retrieval Augmented Generation
Mohali, India
โ โ๐๐ข๐ญ๐๐ฌ๐ก ๐๐ซ๐ฎ๐ฌ๐ก๐๐ ๐ข๐ญ ๐๐จ๐ซ ๐ฎ๐ฌ ๐๐ซ๐๐๐ญ๐ข๐ง๐ ๐จ๐ฎ๐ซ ๐๐. ๐๐ญ ๐ฐ๐๐ฌ ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐ข๐๐๐ญ๐๐ ๐๐ฎ๐ข๐ฅ๐ ๐๐ง๐ ๐ก๐ ๐ก๐๐ง๐๐ฅ๐๐ ๐ข๐ญ ๐ฐ๐ข๐ญ๐ก ๐๐๐ฌ๐. ๐๐๐๐๐๐ ๐ซ๐๐๐จ๐ฆ๐ฆ๐๐ง๐.โ โ โ๐๐ข๐ญ๐๐ฌ๐ก ๐ข๐ฌ ๐๐ง ๐๐ฑ๐ญ๐ซ๐๐จ๐ซ๐๐ข๐ง๐๐ซ๐ฒ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐จ๐ง๐๐ฅ. ๐๐ข๐ฌ ๐ฌ๐ฎ๐๐ฃ๐๐๐ญ ๐ค๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ ๐ข๐ฌ ๐จ๐ฎ๐ญ๐ฌ๐ญ๐๐ง๐๐ข๐ง๐ . ๐๐ ๐๐ฅ๐ฐ๐๐ฒ๐ฌ ๐ฐ๐๐ง๐ญ ๐๐๐จ๐ฏ๐ ๐๐ง๐ ๐๐๐ฒ๐จ๐ง๐ ๐ญ๐ก๐ ๐ญ๐๐ฌ๐ค ๐๐ง๐ ๐ฐ๐จ๐ซ๐ค๐๐ ๐ก๐๐ซ๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐๐๐๐๐ฅ๐ข๐ง๐๐ฌ.โ โ โ๐๐ข๐ญ๐๐ฌ๐ก ๐ข๐ฌ ๐๐ง ๐๐ฆ๐๐ณ๐ข๐ง๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ ๐ฐ๐ก๐จ ๐ญ๐๐ค๐๐ฌ ๐ญ๐ข๐ฆ๐ ๐ญ๐จ ๐ฎ๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐ ๐ก๐ข๐ฌ ๐๐ฎ๐ฌ๐ญ๐จ๐ฆ๐๐ซ๐ฌ.โ โ โ๐๐ข๐ญ๐๐ฌ๐ก ๐๐๐ง๐๐ฎ๐ญ, ๐๐ง๐๐ค๐๐๐๐ซ๐ข๐ฉ๐ญ ๐๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ ๐๐๐ ๐ข๐ฌ ๐๐ง ๐๐ฆ๐๐ณ๐ข๐ง๐ ๐ ๐ฎ๐ฒ ๐๐ง๐ ๐๐จ๐ฆ๐ฉ๐๐ง๐ฒ ๐ญ๐จ ๐ฐ๐จ๐ซ๐ค ๐ฐ๐ข๐ญ๐ก. ๐๐ ๐ข๐ฌ ๐๐ฅ๐ฐ๐๐ฒ๐ฌ ๐ซ๐๐๐๐ก๐๐๐ฅ๐, ๐๐๐ฌ๐ข๐ฅ๐ฒ ๐ฎ๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐๐ฌ ๐ซ๐๐ช๐ฎ๐ข๐ซ๐๐ฆ๐๐ง๐ญ๐ฌ, ๐๐ง๐ ๐๐๐ฅ๐ข๐ฏ๐๐ซ๐ฌ ๐จ๐ง ๐ญ๐ข๐ฆ๐.โ ------------------------ Hi, Iโm Hitesh Ranaut, an AI/ML Engineer & Consultant with 12+ years of experience turning ideas into intelligent, scalable applications. I help startups and businesses build AI-first solutions - from autonomous agents and chatbots to AI-powered SaaS platforms - using the latest frameworks like LangChain, CrewAI, LangGraph, Autogen, MCP, and OpenAI SDK. My strength is combining cutting-edge AI with solid software engineering to deliver products that are not just smart, but also reliable, scalable, and user-friendly. ๐น Core Skills โ AI & Agentic Systems โ LangChain, CrewAI, LangGraph, OpenAI SDK, Autogen, MCP, RAG pipelines โ Backend Development โ Python, Django, Django Rest Framework, Golang โ Frontend โ ReactJS, NextJS โ Databases โ PostgreSQL, MySQL, Firebase (Firestore) โ Cloud & Deployment โ AWS, DigitalOcean, Docker, NGINX, Gunicorn, Celery โ Mobile Apps โ Flutter, React Native, Native iOS/Android ๐น Why Clients Hire Me ๐ I build AI agents and workflows that save time and unlock new opportunities ๐ I deliver end-to-end solutions - backend, frontend, mobile, and cloud ๐ I bring clarity, communication, and consistency to every project ๐ I care about your productโs success, not just delivering code ๐ก If youโre looking for someone who can design, build, and scale AI-driven products, letโs connect. Iโll help you turn your idea into something impactful and future-ready. Cheers, Hitesh Ranaut
- Google Chrome Extension
- React
- WordPress
- HTML5
- Tailwind CSS
- TypeScript
- Core PHP
- Chatbot
- ChatGPT
- Theme Customization
- Plugin Customization
- Ruby on Rails
- React Native
- Laravel
- Web Development
Noida, India
๐ง๐ผ๐ฝ ๐ฅ๐ฎ๐๐ฒ๐ฑ ๐๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ & ๐๐๐น๐น-๐ฆ๐๐ฎ๐ฐ๐ธ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ | 8+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ | ๐ญ% ๐ผ๐ณ ๐จ๐ฝ๐๐ผ๐ฟ๐ธ | ๐ญ๐ฌ๐ฌ% ๐๐ผ๐ฏ ๐ฆ๐๐ฐ๐ฐ๐ฒ๐๐. โ $300K+ Total earnings โ 8+ Years experience as Fullstack Developer โ 80+ Projects Completed. โ Top Rated Plus. โ 100% Job Success Rate. โ AWS certified โ Python certified โ 50hrs/week available โ 4+ AI/ML Integrations ๐ด I am in the ๐ง๐ผ๐ฝ ๐ญ% overall on Upwork. ๐ด I am in the ๐ง๐ผ๐ฝ ๐ฐ% overall on Stack Overflow. ๐๐ ๐๐ ๐๐ง๐ญ / ๐๐จ๐ข๐๐ ๐๐ ๐๐ง๐ญ๐ฌ: ๐๐ซ๐๐ฐ๐๐ / ๐๐ฎ๐ญ๐จ๐๐๐ง / ๐๐ฆ๐๐ณ๐จ๐ง ๐๐จ๐ฅ๐ฅ๐ฒ / ๐๐๐๐ฉ๐ ๐ซ๐๐ฆ / ๐๐๐ฌ๐ ๐๐ / ๐๐ข๐ฏ๐๐ซ๐ฌ๐ข๐๐ ๐๐๐ / ๐๐ณ๐ฎ๐ซ๐ ๐๐ ๐๐ฉ๐๐๐๐ก/๐๐๐ ๐ ๐ข๐ง๐๐ญ๐ฎ๐ง๐ข๐ง๐ : ๐๐ฌ๐ข๐ง๐ ๐๐๐ ๐ / ๐๐จ๐๐ / ๐๐๐จ๐๐ / ๐๐๐๐ / ๐๐๐ / ๐๐ ๐ ๐ฐ๐ข๐ญ๐ก ๐๐ง๐ฌ๐ฅ๐จ๐ญ๐ก / ๐๐ฑ๐จ๐ฅ๐จ๐ญ๐ฅ / ๐๐ฎ๐ ๐ ๐ข๐ง๐ ๐ ๐๐๐ ๐๐ฎ๐ญ๐จ๐๐ซ๐๐ข๐ง / ๐๐๐ ๐๐๐๐ค๐๐ซ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ /๐๐ฉ๐๐ง-๐๐จ๐ฎ๐ซ๐๐ ๐๐๐๐ฌ: ๐๐๐๐๐ ๐ / ๐๐ข๐ฌ๐ญ๐ซ๐๐ฅ ๐๐ / ๐๐ข๐ฑ๐ญ๐ซ๐๐ฅ ๐๐ฑ๐๐ / ๐ ๐๐ฅ๐๐จ๐ง / ๐๐๐ฆ๐ฆ๐ / ๐๐ฅ๐จ๐จ๐ฆ / ๐๐ซ๐๐ ๐๐ข๐ง๐ข / ๐๐ฎ๐๐ง๐๐๐จ/๐ ๐๐ฌ๐ญ ๐๐ง๐๐๐ซ๐๐ง๐๐: ๐ฏ๐๐๐ / ๐๐๐ / ๐๐๐ง๐ฌ๐จ๐ซ๐๐-๐๐๐ / ๐๐๐๐ข๐ฅ๐จ๐ญ/๐๐ซ๐จ๐ฆ๐ฉ๐ญ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ : ๐๐ฎ๐ฅ๐ญ๐ข-๐ญ๐ฎ๐ซ๐ง / ๐ ๐๐ฐ-๐ฌ๐ก๐จ๐ญ / ๐๐๐ซ๐จ-๐ฌ๐ก๐จ๐ญ / ๐๐๐-๐๐๐ฌ๐๐ / ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฆ๐๐๐ฅ๐ ๐๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ/๐๐ฎ๐๐ง๐ญ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: ๐๐๐ / ๐๐๐๐ / ๐๐๐๐ / ๐๐๐๐ / ๐๐๐๐๐ / ๐๐๐ / ๐๐/๐๐๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ & ๐๐๐ญ๐๐๐๐ฌ๐๐ฌ: ๐๐๐ง๐ ๐๐ก๐๐ข๐ง / ๐๐ฅ๐๐ฆ๐๐๐ง๐๐๐ฑ / ๐๐ก๐ซ๐จ๐ฆ๐ / ๐ ๐๐๐๐ / ๐๐ข๐ง๐๐๐จ๐ง๐ / ๐๐๐ซ๐๐ง๐ญ / ๐๐๐๐ฏ๐ข๐๐ญ๐ / ๐๐ข๐ฅ๐ฏ๐ฎ๐ฌ 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 ๐น AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI ๐น LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain ๐น Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8ร7B, Falcon, Gemma ๐น Inference Optimization: vLLM, TGI, TensorRT-LLM ๐น Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts ๐น Quantization: AWQ, GPTQ, GGUF, GGML ๐น RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant ๐น Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks ๐น LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK ๐ฅ๏ธ ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ ๐ฆ๐ธ๐ถ๐น๐น๐: ๐น Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. ๐น Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. ๐น Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. ๐น Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. ๐น Experienced with Nest.js for enterprise-grade server-side applications. ๐น LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. ๐น Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. ๐น Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. ๐น Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. ๐ ๐๐ฟ๐ผ๐ป๐๐ฒ๐ป๐ฑ ๐ฆ๐ธ๐ถ๐น๐น๐: ๐น Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. ๐น Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). ๐น Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. ๐ ๏ธ ๐ง๐ผ๐ผ๐น๐ & ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐: ๐น Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. ๐น Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. ๐น Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). ๐ ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐๐ & ๐๐๐ ๐ฆ๐ธ๐ถ๐น๐น๐: ๐น AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. ๐น Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8ร7B, Falcon, Gemma. ๐น Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. ๐น Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. ๐น Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. ๐น 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
Delhi, India
๐ Top Rated AI/ML Expert on Upwork (Top 1%) ๐ AI Product Engineer | LLM Applications | Generative AI | Agentic Workflows ๐ 10+ Years of Experience | Built Solutions for Startups, Enterprises & Global Clients ๐ Experience Across Microsoft, Google, American Express & High-Growth Startups ๐ Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, SQL ๐น LLM Applications & Generative AI Products I build end-to-end LLM-powered applications that solve real business problemsโfrom idea to deployment. My work includes document intelligence systems, AI copilots, enterprise search, summarization engines, Q&A systems, and workflow automation platforms. Built solutions for: โ Due diligence copilot for investment workflows โ Legal AI research platforms โ Resume/CV parsing applications โ AI-powered document summarization systems โ Knowledge retrieval platforms using RAG ๐น AI Agents & Workflow Automation I design intelligent AI agents that automate repetitive workflows and improve operational efficiency. Examples include: โ Multi-agent workflows โ AI automation using OpenAI, Claude, LangChain & LangFlow โ Process automation using n8n โ Document processing pipelines โ Internal business workflow automation ๐น NLP & Custom Machine Learning Solutions Strong background in NLP and machine learning beyond LLMs, including: โ Named Entity Recognition โ Classification Models โ Clustering Models โ Recommendation Systems โ Text Processing Pipelines โ Custom ML model development ๐น Predictive Analytics & Risk Modeling My foundation comes from years of building machine learning models for large enterprises including Google and American Express. Experience includes: โ Credit risk modeling โ Fraud analytics โ Customer segmentation โ Forecasting โ Marketing analytics โ Behavioral modeling ๐ผ Whether you're a startup building your first AI product or an enterprise looking to integrate Generative AI into existing workflows, I can help with: AI Strategy โ Architecture โ MVP Development โ Deployment I combine deep analytical expertise with hands-on experience building real-world AI products that businesses actually use.
- Machine Learning
- Business Analysis
- Analytics
- Risk Analysis
- Predictive Analytics
- Risk Management
- Data Analytics
- Data Analytics & Visualization Software
- Microsoft Power BI Data Visualization
How it works
Post a job for free Post a job
Tell us what you need. Create your own job post or generate one with AI then filter talent matches.
Hire top talent fast
Consult, interview, and hire quickly, so you can meet the freelancers you're excited about.
Collaborate easily
Use Upwork to chat or video call, share files, and track project progress right from the app.
Payment simplified
Manage payments in one place with flexible billing options. Only pay for approved work, hourly or by milestone.
Don't just take our word for it
โUpwork provides an umbrella-level of security. I can see a talentโs work history and ratings. I can hold payments in escrow. I can communicate through Upwork Messages instead of working through my email address.โ
Kim Darling
Emerald Tiger
โUpwork is the best platform to hire skilled professionals when we're not looking for a full-time employee. All the companies in our portfolio use Upwork to find talent across a wide range of fields.โ
David Merry
Kinetic Investments
โOur very specific requirements can be a challengeโWith Upwork, weโre able to access a bigger community to ensure the success of our projects.โ
Katja Krohn
Summa Linguae
CrewAI developer hiring guide
CrewAI developers help businesses turn multi-step AI workflows into controlled systems that can assign work across agents, call tools and application programming interfaces (APIs), retrieve relevant knowledge, and follow defined review points. They are useful when a project needs more structure than a single chatbot, such as sales research automation, support triage, internal reporting, document review, or operations workflows that combine large language model (LLM) reasoning with business systems. For broader AI system design or implementation, you can also explore hiring AI developers or machine learning experts.
What does a CrewAI developer do?
A CrewAI developer designs, builds, tests, and deploys multi-agent AI workflows using CrewAI, a Python framework for coordinating agents, tasks, tools, knowledge sources, and structured workflows. This work includes defining agent roles and goals, deciding when to use a Crew, a Flow, or both, building custom tools agents can call, connecting APIs and databases, adding retrieval-augmented generation (RAG) when agents need external knowledge, and creating safeguards such as human-in-the-loop (HITL) review.
Common deliverables include an agent role map, a proof-of-concept crew or Flow, custom tool integrations, API configuration notes, RAG setup documentation, evaluation checklists, monitoring plans, security constraints, and deployment handoff notes. Depending on the project, a CrewAI developer may collaborate with product managers on workflow requirements, data scientists on grounding strategy, or internal engineering teams that maintain the system after launch.
How to hire a CrewAI developer on Upwork
Hiring a CrewAI developer on Upwork involves posting a scoped job, evaluating candidates against similar agentic work, interviewing for architecture judgment, and finalizing deliverables before work begins. A clear brief helps freelancers estimate accurately and reduces rework once development starts.
Step 1: Post a job
Start by describing the workflow you want to automate, what the agents need to do, and how success will be measured. A strong CrewAI job post includes:
Workflow goal and business outcome, such as reducing manual research, triaging tickets, or coordinating approvals
Agent tasks and autonomy level, including what agents can decide and what requires HITL review
Data sources and knowledge requirements, such as internal documentation, vector stores, APIs, or databases
Tools and integrations, such as customer relationship management (CRM), support, scheduling, or web search tools
Expected volumes, latency needs, quality targets, and deployment environment
Privacy, logging, compliance, or security constraints
Final deliverables, timeline, and budget model
Use the Job Post Generator, powered by Umaโข, Upworkโs Mindful AI, to draft a customizable job post. Describe your project in a few sentences, then refine the draft with your workflow details, technical requirements, and success criteria. You can also review this job description template to structure your post around responsibilities, deliverables, and evaluation criteria.
Step 2: Evaluate candidates
Review proposals and shortlist candidates whose experience matches the workflow you want to build. Focus on:
Portfolio or GitHub repositories showing CrewAI, AI agent, RAG, or workflow automation projects
Case studies that explain tool use, agent design, deployment, or evaluation methods
Proposed approach, including whether the freelancer identifies assumptions, risks, and control points
Experience with Python, LLM APIs, vector databases, API integrations, and cloud deployment
Client reviews that mention communication, architecture judgment, documentation, and reliability
Availability, time zone overlap if needed, and quality assurance (QA) process
Job Success Score (JSS) and talent badges, such as Top Rated Plus or Expert-Vetted
Use Upworkโs shortlist and comparison tools to organize candidates before moving the strongest matches to interviews.
Step 3: Interview your top choices
Interview top candidates with a structured agenda that validates technical judgment, testing methodology, and how they balance autonomy with control. Useful questions include:
How would you decide whether this workflow needs a Crew, a Flow, or both?
How would you limit tool access so agents can act safely?
What would you log, monitor, and evaluate before deployment?
How would you test agent behavior across common and edge-case inputs?
How would you estimate timeline, milestones, and review points?
How do you handle revisions when agent outputs do not meet quality expectations?
For additional guidance, use common Upwork interview questions. You can also use Instant Interviews to collect structured video responses and Upworkโs messaging, audio, and video tools to keep communication in one place.
Step 4: Agree on scope and begin work
Before work starts, finalize the contract in writing so deliverables, review points, access rules, communication cadence, and payment terms are clear. Use Upworkโs contract workroom to keep milestones, approvals, files, and change requests documented.
Before the project starts:
List final deliverables and what is outside scope
Set milestones for fixed-price work or weekly expectations for hourly work
Define success criteria, such as evaluation pass rates, latency targets, or human review accuracy
Confirm how revisions and change requests will be handled
Confirm communication cadence and escalation path
Confirm payment terms, including milestone amounts or hourly expectations and how project funds will be handled
Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.
The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.
How much does hiring a CrewAI developer cost?
CrewAI developer project costs typically range from about $500 for a focused prototype to $10,000 or more for a production multi-agent system with RAG, API integrations, monitoring, and HITL safeguards. On Upwork, AI developers generally charge $30-$150 per hour, while Python developers generally charge $20-$40 per hour, but total cost depends more on workflow complexity, testing needs, deployment environment, and post-launch support than hourly rate alone.
This table outlines common CrewAI project types, typical market ranges, and the expertise level usually required.
CrewAI prototype
$500-$2,500 /project
- Agent role map for 1-3 agents
- Basic LLM integration
- Demo workflow and setup notes
Standard CrewAI implementation
$2,500-$10,000 /project
- CrewAI Crew or Flow with multi-step logic
- Custom tools and API connections
- Evaluation checklist and deployment handoff
Complex multi-agent system
$10,000+ /project
- Stateful Flows and multi-agent architecture
- Knowledge or RAG setup
- Monitoring, security constraints, and launch documentation
Ongoing optimization and maintenance
Varies, typically hourly /project
- Prompt and tool updates
- Regression tests and evaluation reviews
- Cost and performance reporting
Strategic AI agent consulting
Varies by engagement /project
- Use-case prioritization
- Architecture diagram and risk register
- Implementation roadmap
Key cost drivers include how many systems the agents must access, how much business logic needs to be controlled through Flows, whether sensitive data requires stricter permissions, and how much testing is needed before launch. For broader benchmarking, review AI developer cost guidance and Upwork hourly rates.
FAQs about CrewAI developers
Frequently asked questions
Is hiring a CrewAI developer worth it?
Hiring a CrewAI developer can be worth it when your workflow needs multiple agents, tool access, knowledge retrieval, defined control logic, and review checkpoints. CrewAI is designed for agents, crews, and flows with guardrails, memory, knowledge, and observability, which can help teams move from an experimental demo to a more testable system.
The strongest business case usually comes from workflows with repeatable steps, clear inputs, measurable outputs, and enough volume to justify automation. A common pitfall is starting with a vague goal like โbuild an AI agentโ instead of a defined workflow, success metric, and review process.
What skills should I look for in a CrewAI developer?
A CrewAI developer should have Python experience, LLM integration skills, prompt and task design judgment, API integration experience, RAG or vector database familiarity, and a practical testing process. Look for candidates who can explain how they evaluate agent reliability, manage costs, log behavior, and design fallback or approval workflows.
What is the difference between a CrewAI developer and an AI developer?
A CrewAI developer is a specialized AI developer focused on multi-agent workflows built with the CrewAI framework. A general AI developer may build many types of AI features, including chatbots, recommendation systems, predictive models, or single-agent tools.
In practice, there is overlap. A strong AI developer with Python, LLM integration, and agent architecture experience may become a strong fit for CrewAI work if they can demonstrate hands-on framework knowledge.
How long does a CrewAI development project take?
CrewAI development timelines depend on workflow complexity, integration scope, and testing requirements. A simple prototype with 1-3 agents may take 1-3 weeks, while a standard implementation with multi-step logic, API connections, and deployment may take 4-8 weeks.
Complex systems with RAG, monitoring, security constraints, and HITL checkpoints can take 8-16 weeks or longer. As covered earlier, make sure your scope includes milestones, evaluation checkpoints, and documented success criteria.
What access should I share with a CrewAI developer?
A CrewAI developer usually needs workflow documentation, sample inputs and outputs, API documentation, test data, system requirements, and success criteria to begin planning. Before a contract starts, share only the minimum information needed to estimate scope and assess fit.
After the contract starts, share credentials, private repositories, production systems, or sensitive data through approved access processes. Use least-privilege permissions, test environments when possible, and clear rules for logging, storage, and data handling.
Find more freelancers
Similar CrewAI Developer Skills
- Offshore Software Developers
- CakePHP Developers
- FastAPI Developers
- Enterprise Software Developers
- Fat-Free Developers
- Outsourced Software Developers
- BETA Developers
- Nearshore-Custom-Software-Developers
- Atlassian Confluence Developers
- Software Development Consultants
- Retool Developers
- Kindle Fire Developers
- SaaS Application Developers
- Systems Development Life Cycle (SDLC) Professionals
- Visual Studio Developers
- CVS Developers
Top Countries for CrewAI Developers
- Enterprise Software Developers in Ukraine
- AWS Cloud9 Freelancers in Bangladesh
- Software Development Freelancers in Finland
- Software Development Freelancers in Brazil
- Software Development Freelancers in Germany
- Software Development Freelancers in Saudi Arabia
- Software Development Freelancers in Croatia
- Software Development Freelancers in Macedonia
- Software Development Freelancers in Venezuela
- Enterprise Software Developers in India
- Enterprise Software Developers in Pakistan
- Enterprise Software Developers in Bangladesh
- Enterprise Software Developers in Canada
- Enterprise Software Developers in Nigeria
- Outsourced Developers in Vietnam
- Outsourced Developers in Saudi Arabia