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Md Parvej H.

Dhaka, Bangladesh

$50/hr
5.0
13 jobs

"๐‘๐จ๐œ๐ค ๐ฌ๐ญ๐š๐ซ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ, ๐ซ๐ž๐š๐ฅ๐ฅ๐ฒ ๐ ๐ž๐ญ๐ฌ ๐ญ๐จ ๐ค๐ง๐จ๐ฐ ๐ญ๐ก๐ž ๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐ง, ๐š๐ง๐ ๐ž๐ฑ๐ž๐œ๐ฎ๐ญ๐ž๐ฌ ๐ฐ๐ข๐ญ๐ก ๐ฏ๐ž๐ซ๐š๐œ๐ข๐ญ๐ฒ!" โญโญ โญ โญ โญ ๐Ÿ“ โ€” ๐‚๐ฅ๐ข๐ž๐ง๐ญ ๐‘๐ž๐ฏ๐ข๐ž๐ฐ, ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ (๐Œ๐š๐ซโ€“๐€๐ฉ๐ซ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“) Hi, Iโ€™m 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 donโ€™t just build AI systems โ€” I align them with your growth goals, user experience, and ROI. Whether itโ€™s 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. ๐Ÿ’ผ ๐–๐ก๐š๐ญ ๐ˆ ๐‚๐š๐ง ๐๐ฎ๐ข๐ฅ๐ ๐…๐จ๐ซ ๐˜๐จ๐ฎ ๐Ÿค– ๐‹๐‹๐Œ-๐๐จ๐ฐ๐ž๐ซ๐ž๐ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ๐ฌ (๐‚๐ซ๐ž๐ฐ๐€๐ˆ, ๐‹๐š๐ง๐ ๐†๐ซ๐š๐ฉ๐ก, ๐€๐ฎ๐ญ๐จ๐ ๐ž๐ง, ๐Ž๐ฉ๐ž๐ง๐€๐ˆ ๐’๐ƒ๐Š) ๐Ÿ—ฃ๏ธ ๐•๐จ๐ข๐œ๐ž + ๐€๐œ๐ญ๐ข๐จ๐ง ๐€๐ ๐ž๐ง๐ญ๐ฌ (๐•๐š๐ฉ๐ข.๐š๐ข, ๐„๐ฅ๐ž๐ฏ๐ž๐ง๐‹๐š๐›๐ฌ, ๐ƒ๐ž๐ž๐ฉ๐ ๐ซ๐š๐ฆ, ๐๐ฅ๐š๐ฒ๐‡๐“) ๐Ÿ“š ๐‘๐€๐† ๐’๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ (๐๐Œ๐Ÿ๐Ÿ“ + ๐ƒ๐ž๐ง๐ฌ๐ž ๐‘๐ž๐ญ๐ซ๐ข๐ž๐ฏ๐š๐ฅ, ๐‚๐ก๐ซ๐จ๐ฆ๐š, ๐๐ข๐ง๐ž๐œ๐จ๐ง๐ž, ๐–๐ž๐š๐ฏ๐ข๐š๐ญ๐ž, ๐๐๐ซ๐š๐ง๐ญ) ๐Ÿงฉ ๐…๐ฎ๐ฅ๐ฅ-๐’๐ญ๐š๐œ๐ค ๐€๐ ๐ž๐ง๐ญ ๐–๐จ๐ซ๐ค๐Ÿ๐ฅ๐จ๐ฐ๐ฌ (๐…๐š๐ฌ๐ญ๐€๐๐ˆ + ๐‘๐ž๐š๐œ๐ญ.๐ฃ๐ฌ + ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ฅ๐ข๐ญ) ๐Ÿ”— ๐–๐จ๐ซ๐ค๐Ÿ๐ฅ๐จ๐ฐ ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง (๐ง๐Ÿ–๐ง, ๐™๐š๐ฉ๐ข๐ž๐ซ, ๐Œ๐š๐ค๐ž.๐œ๐จ๐ฆ, ๐€๐ข๐ซ๐ญ๐š๐›๐ฅ๐ž, ๐’๐ฎ๐ฉ๐š๐›๐š๐ฌ๐ž, ๐๐ข๐ฉ๐ž๐๐ซ๐ž๐š๐ฆ) ๐Ÿง  ๐•๐ž๐œ๐ญ๐จ๐ซ ๐’๐ž๐š๐ซ๐œ๐ก ๐€๐ฉ๐ฉ๐ฌ (๐œ๐ฎ๐ฌ๐ญ๐จ๐ฆ ๐ž๐ฆ๐›๐ž๐๐๐ข๐ง๐ ๐ฌ, ๐๐จ๐œ๐ฎ๐ฆ๐ž๐ง๐ญ ๐&๐€, ๐ฆ๐ž๐ฆ๐จ๐ซ๐ฒ ๐š๐ ๐ž๐ง๐ญ๐ฌ) ๐Ÿ“Š ๐๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง-๐‘๐ž๐š๐๐ฒ ๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐๐ฌ & ๐€๐ ๐ž๐ง๐ญ ๐Œ๐จ๐ง๐ข๐ญ๐จ๐ซ๐ฌ ๐Ÿงฐ ๐“๐ž๐œ๐ก ๐’๐ญ๐š๐œ๐ค ๐…๐ซ๐š๐ฆ๐ž๐ฐ๐จ๐ซ๐ค๐ฌ: ๐‚๐ซ๐ž๐ฐ๐€๐ˆ, ๐‹๐š๐ง๐ ๐‚๐ก๐š๐ข๐ง, ๐‹๐š๐ง๐ ๐†๐ซ๐š๐ฉ๐ก, ๐€๐ฎ๐ญ๐จ๐ ๐ž๐ง, ๐€๐ ๐ž๐ง๐ญ๐๐‹, ๐Ž๐ฉ๐ž๐ง๐€๐ˆ ๐’๐ƒ๐Š, ๐•๐š๐ฉ๐ข.๐š๐ข, ๐Œ๐š๐ค๐ž.๐œ๐จ๐ฆ, ๐๐Ÿ–๐ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ๐ฌ ๐‹๐‹๐Œ ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง๐ฌ: ๐†๐๐“-๐Ÿ’, ๐‚๐ฅ๐š๐ฎ๐๐ž, ๐†๐ž๐ฆ๐ข๐ง๐ข, ๐Œ๐ข๐ฌ๐ญ๐ซ๐š๐ฅ, ๐Ž๐ฉ๐ž๐ง๐‘๐จ๐ฎ๐ญ๐ž๐ซ, ๐Ž๐ฅ๐ฅ๐š๐ฆ๐š ๐•๐ž๐œ๐ญ๐จ๐ซ & ๐‘๐€๐† ๐๐ข๐ฉ๐ž๐ฅ๐ข๐ง๐ž๐ฌ: ๐๐ข๐ง๐ž๐œ๐จ๐ง๐ž, ๐๐๐ซ๐š๐ง๐ญ, ๐–๐ž๐š๐ฏ๐ข๐š๐ญ๐ž, ๐‚๐ก๐ซ๐จ๐ฆ๐š, ๐Œ๐ข๐ฅ๐ฏ๐ฎ๐ฌ, ๐‡๐ฒ๐›๐ซ๐ข๐ ๐‘๐ž๐ญ๐ซ๐ข๐ž๐ฏ๐š๐ฅ (๐๐Œ๐Ÿ๐Ÿ“ + ๐ƒ๐ž๐ง๐ฌ๐ž) ๐…๐ฎ๐ฅ๐ฅ ๐’๐ญ๐š๐œ๐ค ๐ƒ๐ž๐ฏ: ๐๐ฒ๐ญ๐ก๐จ๐ง, ๐…๐š๐ฌ๐ญ๐€๐๐ˆ, ๐…๐ฅ๐š๐ฌ๐ค, ๐๐จ๐๐ž.๐ฃ๐ฌ, ๐‘๐ž๐š๐œ๐ญ.๐ฃ๐ฌ, ๐๐ž๐ฑ๐ญ.๐ฃ๐ฌ, ๐“๐š๐ข๐ฅ๐ฐ๐ข๐ง๐ ๐‚๐’๐’, ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ฅ๐ข๐ญ, ๐‘๐š๐ข๐ฅ๐ฐ๐š๐ฒ, ๐•๐ž๐ซ๐œ๐ž๐ฅ ๐ƒ๐ž๐ฏ๐Ž๐ฉ๐ฌ & ๐ˆ๐ง๐Ÿ๐ซ๐š: ๐ƒ๐จ๐œ๐ค๐ž๐ซ, ๐Š๐ฎ๐›๐ž๐ซ๐ง๐ž๐ญ๐ž๐ฌ, ๐‚๐ˆ/๐‚๐ƒ (๐†๐ข๐ญ๐‡๐ฎ๐› ๐€๐œ๐ญ๐ข๐จ๐ง๐ฌ, ๐†๐ข๐ญ๐‹๐š๐›), ๐€๐–๐’, ๐†๐‚๐, ๐€๐ณ๐ฎ๐ซ๐ž ๐ŸŽ“ Business & Strategy โœ… MBA + Engineering Mindset: Deep understanding of market fit, cost-efficiency, and product-market alignment ๐Ÿ“ˆ Results-Driven Development: 200%+ ROI, 40% reduction in operational costs, 6x content productivity ๐ŸŽฏ Roadmap-First Approach: I help startups and founders scope and sequence AI features with clear KPIs ๐Ÿงฉ Product Strategy Support: Go beyond coding โ€” get business insights, market positioning, and UX thinking baked into every build โœ… ๐–๐ก๐ฒ ๐‚๐ฅ๐ข๐ž๐ง๐ญ๐ฌ ๐‚๐ก๐จ๐จ๐ฌ๐ž ๐Œ๐ž ๐Ÿ’ผ ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ข๐œ + ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐Ž๐ฐ๐ง๐ž๐ซ๐ฌ๐ก๐ข๐ฉ ๐Ÿงฉ ๐Œ๐จ๐๐ฎ๐ฅ๐š๐ซ & ๐’๐œ๐š๐ฅ๐š๐›๐ฅ๐ž ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž ๐Ÿ’ฌ ๐…๐š๐ฌ๐ญ ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐œ๐š๐ญ๐ข๐จ๐ง, ๐‚๐ฅ๐ž๐š๐ซ ๐๐ฅ๐š๐ง๐ง๐ข๐ง๐  ๐Ÿ”’ ๐‚๐จ๐ง๐Ÿ๐ข๐๐ž๐ง๐ญ๐ข๐š๐ฅ๐ข๐ญ๐ฒ ๐†๐ฎ๐š๐ซ๐š๐ง๐ญ๐ž๐ž๐, ๐„๐ง๐ญ๐ž๐ซ๐ฉ๐ซ๐ข๐ฌ๐ž-๐‘๐ž๐š๐๐ฒ ๐ƒ๐ž๐ฅ๐ข๐ฏ๐ž๐ซ๐ฒ Letโ€™s 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
Nouman A.

Lahore, Pakistan

$30/hr
5.0
17 jobs

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: โœ”๏ธChatbots 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. โœ”๏ธAI 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. โœ”๏ธLLM 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. โœ”๏ธDomain-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
Daniyal K.

Karachi, Pakistan

$20/hr
4.9
106 jobs

๐Ÿ’ก FREE AI / Backend / Automation Audit + Scalable Roadmap Before We Start Most AI and automation projects fail not because of bad ideasโ€ฆ But because the backend, agent architecture, or workflow system wasn't built to scale. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿšจ IF YOU ARE STRUGGLING WITH: โžค AI agents that don't work reliably in production โžค n8n workflows that break or can't scale โžค GHL systems that are messy or not converting โžค RAG pipelines with hallucinations or slow retrieval โžค Backend APIs that fail under load โžค AI ideas stuck in prototype phase ๐Ÿ‘‰ YOU ARE IN THE RIGHT PLACE. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โœ… WHAT I BUILD I build production-ready AI systems, agentic workflows, and scalable automation infrastructure. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿค– AI AGENT & LLM DEVELOPMENT โžค Multi-agent systems (LangChain, LangGraph, CrewAI) โžค RAG pipelines with vector databases (Pinecone, pgvector, Chroma) โžค LLM integration (OpenAI, Claude, Gemini) โžค Tool calling & function execution โžค Prompt engineering for production reliability โžค AI agents with memory and context management โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš™๏ธ n8n & WORKFLOW AUTOMATION โžค Complex n8n workflows with error handling & retry logic โžค API integrations (REST, webhooks, OAuth) โžค Self-hosted n8n deployment โžค Webhook orchestration & event-driven automation โžค Human-in-the-loop approval workflows โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“Š GHL (GoHighLevel) EXPERTISE โžค GHL workflow automation (pipelines, triggers, actions) โžค CRM automation & lead management โžค GHL + API integrations (webhooks, custom APIs) โžค AI voice agent integration (Retell, Vapi) with GHL โžค SaaS mode setup & white-label systems โžค Funnel & automation optimization โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ BACKEND ENGINEERING โžค Python (FastAPI) โ€“ high-performance APIs โžค PostgreSQL with vector extensions (pgvector) โžค Async systems & background workers โžค Docker, cloud deployment (AWS/GCP) โžค Secure authentication (JWT, OAuth) โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ฆ WHAT YOU GET When we work together, you receive: โžค Production-ready AI agents and workflows โžค Clean, documented, maintainable code โžค Error handling, logging, and monitoring โžค Loom walkthroughs + written documentation โžค Systems built to scale from day one โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ˆ EXPERIENCE & RESULTS โžค 10+ years backend & SaaS development โžค 70+ successful Upwork projects โžค Top Rated Plus | $60K+ earned โžค Built production AI agents, RAG systems, automation pipelines โžค Long-term partnerships with startups & agencies โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ› ๏ธ TECH STACK (by demand) High Demand (Lead with these): Python โ€ข LangChain/LangGraph โ€ข n8n โ€ข GoHighLevel โ€ข OpenAI/Claude API โ€ข RAG โ€ข Vector Databases (Pinecone/pgvector) โ€ข FastAPI โ€ข PostgreSQL Supporting: Laravel โ€ข Docker โ€ข AWS/GCP โ€ข Redis โ€ข React/Next.js โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽฏ INDUSTRIES I WORK WITH โžค AI-first SaaS startups โžค Marketing agencies (GHL users) โžค E-commerce & D2C brands โžค Real estate & PropTech โžค Healthcare & legal tech โžค Fintech & payment systems โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ฉ 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 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Most developers just build features. I build systems that work reliably in production. ๐Ÿ‘‰ MESSAGE ME NOW FOR YOUR FREE AI / BACKEND / AUTOMATION ROADMAP โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ”‘ 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
Hitesh R.

Mohali, India

$25/hr
5.0
80 jobs

โ˜† โ€œ๐‡๐ข๐ญ๐ž๐ฌ๐ก ๐œ๐ซ๐ฎ๐ฌ๐ก๐ž๐ ๐ข๐ญ ๐Ÿ๐จ๐ซ ๐ฎ๐ฌ ๐œ๐ซ๐ž๐š๐ญ๐ข๐ง๐  ๐จ๐ฎ๐ซ ๐€๐ˆ. ๐ˆ๐ญ ๐ฐ๐š๐ฌ ๐š ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ž๐ ๐›๐ฎ๐ข๐ฅ๐ ๐š๐ง๐ ๐ก๐ž ๐ก๐š๐ง๐๐ฅ๐ž๐ ๐ข๐ญ ๐ฐ๐ข๐ญ๐ก ๐ž๐š๐ฌ๐ž. ๐‡๐ˆ๐†๐‡๐‹๐˜ ๐ซ๐ž๐œ๐จ๐ฆ๐ฆ๐ž๐ง๐.โ€ โ˜† โ€œ๐‡๐ข๐ญ๐ž๐ฌ๐ก ๐ข๐ฌ ๐š๐ง ๐ž๐ฑ๐ญ๐ซ๐š๐จ๐ซ๐๐ข๐ง๐š๐ซ๐ฒ ๐ฉ๐ซ๐จ๐Ÿ๐ž๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ฅ. ๐‡๐ข๐ฌ ๐ฌ๐ฎ๐›๐ฃ๐ž๐œ๐ญ ๐ค๐ง๐จ๐ฐ๐ฅ๐ž๐๐ ๐ž ๐ข๐ฌ ๐จ๐ฎ๐ญ๐ฌ๐ญ๐š๐ง๐๐ข๐ง๐ . ๐‡๐ž ๐š๐ฅ๐ฐ๐š๐ฒ๐ฌ ๐ฐ๐ž๐ง๐ญ ๐š๐›๐จ๐ฏ๐ž ๐š๐ง๐ ๐›๐ž๐ฒ๐จ๐ง๐ ๐ญ๐ก๐ž ๐ญ๐š๐ฌ๐ค ๐š๐ง๐ ๐ฐ๐จ๐ซ๐ค๐ž๐ ๐ก๐š๐ซ๐ ๐ญ๐จ ๐ฆ๐ž๐ž๐ญ ๐๐ž๐š๐๐ฅ๐ข๐ง๐ž๐ฌ.โ€ โ˜† โ€œ๐‡๐ข๐ญ๐ž๐ฌ๐ก ๐ข๐ฌ ๐š๐ง ๐š๐ฆ๐š๐ณ๐ข๐ง๐  ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ ๐ฐ๐ก๐จ ๐ญ๐š๐ค๐ž๐ฌ ๐ญ๐ข๐ฆ๐ž ๐ญ๐จ ๐ฎ๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐ ๐ก๐ข๐ฌ ๐œ๐ฎ๐ฌ๐ญ๐จ๐ฆ๐ž๐ซ๐ฌ.โ€ โ˜† โ€œ๐‡๐ข๐ญ๐ž๐ฌ๐ก ๐‘๐š๐ง๐š๐ฎ๐ญ, ๐’๐ง๐š๐ค๐ž๐’๐œ๐ซ๐ข๐ฉ๐ญ ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ ๐‹๐‹๐ ๐ข๐ฌ ๐š๐ง ๐š๐ฆ๐š๐ณ๐ข๐ง๐  ๐ ๐ฎ๐ฒ ๐š๐ง๐ ๐œ๐จ๐ฆ๐ฉ๐š๐ง๐ฒ ๐ญ๐จ ๐ฐ๐จ๐ซ๐ค ๐ฐ๐ข๐ญ๐ก. ๐‡๐ž ๐ข๐ฌ ๐š๐ฅ๐ฐ๐š๐ฒ๐ฌ ๐ซ๐ž๐š๐œ๐ก๐š๐›๐ฅ๐ž, ๐ž๐š๐ฌ๐ข๐ฅ๐ฒ ๐ฎ๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐๐ฌ ๐ซ๐ž๐ช๐ฎ๐ข๐ซ๐ž๐ฆ๐ž๐ง๐ญ๐ฌ, ๐š๐ง๐ ๐๐ž๐ฅ๐ข๐ฏ๐ž๐ซ๐ฌ ๐จ๐ง ๐ญ๐ข๐ฆ๐ž.โ€ ------------------------ Hi, Iโ€™m 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. ๐Ÿ”น Core Skills โœ… AI & Agentic Systems โ€“ LangChain, CrewAI, LangGraph, OpenAI SDK, Autogen, MCP, RAG pipelines โœ… Backend Development โ€“ Python, Django, Django Rest Framework, Golang โœ… Frontend โ€“ ReactJS, NextJS โœ… Databases โ€“ PostgreSQL, MySQL, Firebase (Firestore) โœ… Cloud & Deployment โ€“ AWS, DigitalOcean, Docker, NGINX, Gunicorn, Celery โœ… Mobile Apps โ€“ Flutter, React Native, Native iOS/Android ๐Ÿ”น Why Clients Hire Me ๐Ÿš€ I build AI agents and workflows that save time and unlock new opportunities ๐Ÿš€ I deliver end-to-end solutions - backend, frontend, mobile, and cloud ๐Ÿš€ I bring clarity, communication, and consistency to every project ๐Ÿš€ I care about your productโ€™s success, not just delivering code ๐Ÿ’ก If youโ€™re looking for someone who can design, build, and scale AI-driven products, letโ€™s connect. Iโ€™ll 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
Atul K.

Noida, India

$30/hr
4.9
175 jobs

๐—ง๐—ผ๐—ฝ ๐—ฅ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—”๐—œ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ & ๐—™๐˜‚๐—น๐—น-๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ | 8+ ๐—ฌ๐—ฒ๐—ฎ๐—ฟ๐˜€ | ๐Ÿญ% ๐—ผ๐—ณ ๐—จ๐—ฝ๐˜„๐—ผ๐—ฟ๐—ธ | ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—๐—ผ๐—ฏ ๐—ฆ๐˜‚๐—ฐ๐—ฐ๐—ฒ๐˜€๐˜€. โœ… $300K+ Total earnings โœ…8+ Years experience as Fullstack Developer โœ… 80+ Projects Completed. โœ…Top Rated Plus. โœ… 100% Job Success Rate. โœ… AWS certified โœ… Python certified โœ…50hrs/week available โœ… 4+ AI/ML Integrations ๐Ÿ”ด I am in the ๐—ง๐—ผ๐—ฝ ๐Ÿญ% overall on Upwork. ๐Ÿ”ด I am in the ๐—ง๐—ผ๐—ฝ ๐Ÿฐ% overall on Stack Overflow. ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ / ๐•๐จ๐ข๐œ๐ž ๐€๐ ๐ž๐ง๐ญ๐ฌ: ๐‚๐ซ๐ž๐ฐ๐€๐ˆ / ๐€๐ฎ๐ญ๐จ๐†๐ž๐ง / ๐€๐ฆ๐š๐ณ๐จ๐ง ๐๐จ๐ฅ๐ฅ๐ฒ / ๐ƒ๐ž๐ž๐ฉ๐ ๐ซ๐š๐ฆ / ๐‘๐š๐ฌ๐š ๐€๐ˆ / ๐‘๐ข๐ฏ๐ž๐ซ๐ฌ๐ข๐๐ž ๐’๐ƒ๐Š / ๐€๐ณ๐ฎ๐ซ๐ž ๐€๐ˆ ๐’๐ฉ๐ž๐ž๐œ๐ก/๐‹๐‹๐Œ ๐…๐ข๐ง๐ž๐ญ๐ฎ๐ง๐ข๐ง๐ : ๐”๐ฌ๐ข๐ง๐  ๐๐„๐…๐“ / ๐‹๐จ๐‘๐€ / ๐๐‹๐จ๐‘๐€ / ๐‘๐‹๐‡๐… / ๐ƒ๐๐Ž / ๐’๐…๐“ ๐ฐ๐ข๐ญ๐ก ๐”๐ง๐ฌ๐ฅ๐จ๐ญ๐ก / ๐€๐ฑ๐จ๐ฅ๐จ๐ญ๐ฅ / ๐‡๐ฎ๐ ๐ ๐ข๐ง๐ ๐…๐š๐œ๐ž ๐€๐ฎ๐ญ๐จ๐“๐ซ๐š๐ข๐ง / ๐’๐š๐ ๐ž๐Œ๐š๐ค๐ž๐ซ ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ /๐Ž๐ฉ๐ž๐ง-๐’๐จ๐ฎ๐ซ๐œ๐ž ๐‹๐‹๐Œ๐ฌ: ๐‹๐‹๐€๐Œ๐€ ๐Ÿ‘ / ๐Œ๐ข๐ฌ๐ญ๐ซ๐š๐ฅ ๐Ÿ•๐ / ๐Œ๐ข๐ฑ๐ญ๐ซ๐š๐ฅ ๐Ÿ–๐ฑ๐Ÿ•๐ / ๐…๐š๐ฅ๐œ๐จ๐ง / ๐†๐ž๐ฆ๐ฆ๐š / ๐๐ฅ๐จ๐จ๐ฆ / ๐Ž๐ซ๐œ๐š ๐Œ๐ข๐ง๐ข / ๐†๐ฎ๐š๐ง๐š๐œ๐จ/๐…๐š๐ฌ๐ญ ๐ˆ๐ง๐Ÿ๐ž๐ซ๐ž๐ง๐œ๐ž: ๐ฏ๐‹๐‹๐Œ / ๐“๐†๐ˆ / ๐“๐ž๐ง๐ฌ๐จ๐ซ๐‘๐“-๐‹๐‹๐Œ / ๐’๐Š๐๐ข๐ฅ๐จ๐ญ/๐๐ซ๐จ๐ฆ๐ฉ๐ญ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ : ๐Œ๐ฎ๐ฅ๐ญ๐ข-๐ญ๐ฎ๐ซ๐ง / ๐…๐ž๐ฐ-๐ฌ๐ก๐จ๐ญ / ๐™๐ž๐ซ๐จ-๐ฌ๐ก๐จ๐ญ / ๐‘๐€๐†-๐๐š๐ฌ๐ž๐ / ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ๐ฆ๐š๐›๐ฅ๐ž ๐๐ข๐ฉ๐ž๐ฅ๐ข๐ง๐ž๐ฌ/๐๐ฎ๐š๐ง๐ญ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง: ๐€๐–๐ / ๐†๐๐“๐ / ๐†๐†๐”๐… / ๐†๐†๐Œ๐‹ / ๐๐‹๐Ž๐‘๐€ / ๐๐“๐ / ๐ƒ๐/๐‘๐€๐† ๐’๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ & ๐ƒ๐š๐ญ๐š๐›๐š๐ฌ๐ž๐ฌ: ๐‹๐š๐ง๐ ๐‚๐ก๐š๐ข๐ง / ๐‹๐ฅ๐š๐ฆ๐š๐ˆ๐ง๐๐ž๐ฑ / ๐‚๐ก๐ซ๐จ๐ฆ๐š / ๐…๐€๐ˆ๐’๐’ / ๐๐ข๐ง๐ž๐œ๐จ๐ง๐ž / ๐๐๐ซ๐š๐ง๐ญ / ๐–๐ž๐š๐ฏ๐ข๐š๐ญ๐ž / ๐Œ๐ข๐ฅ๐ฏ๐ฎ๐ฌ 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 ๐Ÿ”น AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI ๐Ÿ”น LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain ๐Ÿ”น Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8ร—7B, Falcon, Gemma ๐Ÿ”น Inference Optimization: vLLM, TGI, TensorRT-LLM ๐Ÿ”น Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts ๐Ÿ”น Quantization: AWQ, GPTQ, GGUF, GGML ๐Ÿ”น RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant ๐Ÿ”น Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks ๐Ÿ”น LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK ๐Ÿ–ฅ๏ธ ๐—•๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ป๐—ฑ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€: ๐Ÿ”น Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. ๐Ÿ”น Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. ๐Ÿ”น Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. ๐Ÿ”น Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. ๐Ÿ”น Experienced with Nest.js for enterprise-grade server-side applications. ๐Ÿ”น LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. ๐Ÿ”น Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. ๐Ÿ”น Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. ๐Ÿ”น Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. ๐ŸŒ ๐—™๐—ฟ๐—ผ๐—ป๐˜๐—ฒ๐—ป๐—ฑ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€: ๐Ÿ”น Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. ๐Ÿ”น Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). ๐Ÿ”น Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. ๐Ÿ› ๏ธ ๐—ง๐—ผ๐—ผ๐—น๐˜€ & ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€: ๐Ÿ”น Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. ๐Ÿ”น Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. ๐Ÿ”น Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). ๐ŸŒŸ ๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ ๐—”๐—œ & ๐—Ÿ๐—Ÿ๐—  ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€: ๐Ÿ”น AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. ๐Ÿ”น Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8ร—7B, Falcon, Gemma. ๐Ÿ”น Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. ๐Ÿ”น Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. ๐Ÿ”น Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. ๐Ÿ”น 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
Amanpreet K.

Delhi, India

$55/hr
4.9
84 jobs

๐Ÿ… Top Rated AI/ML Expert on Upwork (Top 1%) ๐Ÿ… AI Product Engineer | LLM Applications | Generative AI | Agentic Workflows ๐Ÿ… 10+ Years of Experience | Built Solutions for Startups, Enterprises & Global Clients ๐Ÿ… Experience Across Microsoft, Google, American Express & High-Growth Startups ๐Ÿ… Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, SQL ๐Ÿ”น LLM Applications & Generative AI Products I build end-to-end LLM-powered applications that solve real business problemsโ€”from 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: โœ” Due diligence copilot for investment workflows โœ” Legal AI research platforms โœ” Resume/CV parsing applications โœ” AI-powered document summarization systems โœ” Knowledge retrieval platforms using RAG ๐Ÿ”น AI Agents & Workflow Automation I design intelligent AI agents that automate repetitive workflows and improve operational efficiency. Examples include: โœ” Multi-agent workflows โœ” AI automation using OpenAI, Claude, LangChain & LangFlow โœ” Process automation using n8n โœ” Document processing pipelines โœ” Internal business workflow automation ๐Ÿ”น NLP & Custom Machine Learning Solutions Strong background in NLP and machine learning beyond LLMs, including: โœ” Named Entity Recognition โœ” Classification Models โœ” Clustering Models โœ” Recommendation Systems โœ” Text Processing Pipelines โœ” Custom ML model development ๐Ÿ”น Predictive Analytics & Risk Modeling My foundation comes from years of building machine learning models for large enterprises including Google and American Express. Experience includes: โœ” Credit risk modeling โœ” Fraud analytics โœ” Customer segmentation โœ” Forecasting โœ” Marketing analytics โœ” Behavioral modeling ๐Ÿ’ผ 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

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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 Umaโ„ข, Upworkโ€™s 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 Upworkโ€™s 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 Upworkโ€™s 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 Upworkโ€™s 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

Entry-level to mid-level
  • Agent role map for 1-3 agents
  • Basic LLM integration
  • Demo workflow and setup notes

Standard CrewAI implementation

$2,500-$10,000 /project

Mid-level
  • 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

Senior-level
  • Stateful Flows and multi-agent architecture
  • Knowledge or RAG setup
  • Monitoring, security constraints, and launch documentation

Ongoing optimization and maintenance

Varies, typically hourly /project

Mid-level to senior
  • Prompt and tool updates
  • Regression tests and evaluation reviews
  • Cost and performance reporting

Strategic AI agent consulting

Varies by engagement /project

Senior-level to expert
  • 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 โ€œbuild 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.