Hire the Best Groq Developers

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Marek K.

Gdansk, Poland

$65/hr
5.0
4 jobs

Businesses lose thousands of hours a year to manual data entry and repetitive workflows. I build the AI systems that eliminate that permanently. What I deliver: โ€” Invoice & document extraction (YOLOv8 + OCR, structured JSON output, 95%+ accuracy) โ€” Business process automation (Python, n8n, Make, API integrations) โ€” Computer vision systems (defect detection, object counting, real-time camera analysis) Every project I deliver is production-ready, documented, and built to scale. I don't disappear after handoff. Currently available for fixed-price projects and retainers. Message me with your bottleneck โ€” most projects scope out in one conversation.

  • Artificial Intelligence
  • OpenCV
  • YOLO
  • Computer Vision
  • FastAPI
  • API Development
  • Streamlit
  • OCR Software
  • Business Process Automation
  • API Integration
  • n8n
Muhammad Mustafa R.

Mailsi, Pakistan

$5/hr
5.0
5 jobs

AI Agent Developer | AI Automation Engineer | Generative AI Engineer | LLM Engineer | OpenAI API Expert | LangChain Developer | LangGraph Developer | RAG Specialist | AI Chatbot Developer | AI Voice Agent Developer | Python Developer | FastAPI Developer | AI Integration Expert | Multi-Agent Systems Engineer | Workflow Automation Specialist. I help startups, SaaS companies, and enterprises build intelligent AI-powered products using Generative AI, GPT-5, DeepSeek, Python, n8n, MCP, RAG, AI Agents, AI Voice Agents, Chatbots, and Conversational AI. As an AI Engineer, I specialize in designing and developing production-ready AI solutions, including autonomous AI Agents, multi-agent systems, AI Voice Agents, intelligent Chatbots, and advanced Conversational AI applications. My expertise includes building Retrieval-Augmented Generation (RAG) systems, Model Context Protocol (MCP) integrations, custom LLM applications, knowledge bases, and AI-powered automation that help businesses streamline operations, improve customer experiences, and reduce manual work. I develop scalable AI systems using Python, GPT-5, DeepSeek, n8n Workflows, and modern AI frameworks to create intelligent automation solutions capable of reasoning, decision-making, and executing complex business processes. Whether you need AI Agents, AI Voice Agents, Chatbots, Conversational AI, RAG pipelines, MCP integrations, Generative AI applications, n8n automations, customer support assistants, sales agents, workflow automation, or end-to-end AI products, I focus on delivering secure, scalable, and business-driven solutions that generate measurable results. My goal is to transform ideas into production-ready AI systems that automate workflows, enhance productivity, and provide real business value through advanced Generative AI technologies. ๐–๐ก๐š๐ญ ๐ˆ ๐–๐จ๐ซ๐ค ๐Ž๐ง: โœ… Agentic AI & AI Agent Development I design and build production-grade Agentic AI systems capable of autonomous reasoning, decision-making, task execution, and workflow orchestration. As a Senior AI Engineer, I specialize in building scalable AI Agents and AI Multi-Agent ecosystems that operate reliably in real-world environments. - Agentic AI system development - AI Agents with autonomous task execution - AI Multi-Agent systems using LangChain & LangGraph - AI Agent orchestration and workflow automation - Scalable AI architectures using Python & FastAPI โœ… AI Agents, Conversational AI & LLM Systems As an AI Engineer, I develop intelligent AI Agents and conversational systems that understand context, retrieve accurate information, and integrate directly into business operations. - AI Agents for business automation - AI Chatbot Development with advanced reasoning - ChatGPT integrations for AI-powered workflows - RAG-based AI systems with Pinecone - Context-aware AI Assistants with reduced hallucinations โœ… AI Voice Agents & Autonomous AI Systems I specialize in AI Voice Agents and autonomous conversational systems that can handle real-time interactions for customer support, lead qualification, and operational workflows. - AI Voice Agents for real-time conversations - AI Phone Agents using Vapi & Retell AI - Autonomous AI SDR Agents - Real-time Agentic AI workflows - AI Agents for customer engagement automation โœ… Full-Stack AI Development & AI SaaS Systems I build scalable AI applications with robust backend systems, clean architecture, and production-ready deployment pipelines. - End-to-end AI Development - AI SaaS platforms with Next.js & TypeScript - Full-stack AI applications with integrated AI Agents - AI backend engineering with FastAPI & Python - API integrations and scalable AI system design โœ… AI Optimization, Monitoring & Scalability Building AI systems is one thing โ€” keeping AI Agents reliable, scalable, and cost-efficient in production is another. I focus on long-term AI system performance and operational stability. - AI Agent monitoring with LangSmith - LLM optimization and cost reduction - Reliable Agentic AI pipelines - Scalable AI Multi-Agent architectures - Production-ready AI system optimization ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ๐ฌ ๐ˆ ๐’๐จ๐ฅ๐ฏ๐ž: โœ”๏ธ AI systems that work in demos but fail in production โœ”๏ธ AI agents that hallucinate, loop, or break in complex workflows โœ”๏ธ Manual processes are slowing down business operations โœ”๏ธ Poorly structured AI implementations with no scalability โœ”๏ธ High API costs due to inefficient AI usage ๐–๐ก๐š๐ญ ๐˜๐จ๐ฎ ๐‚๐š๐ง ๐„๐ฑ๐ฉ๐ž๐œ๐ญ: โœ”๏ธ Production-ready AI systems โœ”๏ธ Clean, maintainable code and architecture โœ”๏ธ Reliable AI Automation workflows โœ”๏ธ Scalable SaaS-ready solutions โœ”๏ธ Clear communication and proper documentation ๐–๐ก๐ฒ ๐‚๐ฅ๐ข๐ž๐ง๐ญ๐ฌ ๐–๐จ๐ซ๐ค ๐–๐ข๐ญ๐ก ๐Œ๐ž: โœ”๏ธ Strong expertise in AI development and system design โœ”๏ธ Deep experience with AI Chatbots, AI Automation, and AI Voice Agents โœ”๏ธ Practical approach focused on business outcomes โœ”๏ธ Clear thinking, structured execution, and long-term scalability

  • Artificial Intelligence
  • Python
  • Node.js
  • Django
  • Web Development
  • Full-Stack Development
  • SaaS Development
  • Machine Learning
  • AI Development
  • AI Agent Development
  • AI Chatbot
  • AI Platform
  • API Integration
  • Front-End Development
  • Back-End Development
  • Data Engineering
  • FastAPI
  • Large Language Model
  • Retrieval Augmented Generation
  • SaaS
Amna M.

Bahawalpur, Pakistan

$7/hr
5.0
14 jobs

I design and build reliable AI, LLM, RAG, NLP, machine learning, deep learning, and automation systems where retrieval quality, execution logic, and workflow stability matter. What I Build: โœ… RAG Systems: hybrid semantic + BM25 retrieval, reranking, vector databases, evaluation pipelines โœ… LLM Agents: LangChain, LangGraph, LlamaIndex, multi-step AI agents, tool calling โœ… NLP Pipelines: text classification, summarization, sentiment analysis, embeddings, POS tagging โœ… Language Models: RNN, LSTM, Transformers, BLEU/ROUGE evaluation โœ… ML/DL Systems: classification, regression, clustering, forecasting, CNNs, GANs, XGBoost โœ… Computer Vision: image processing, feature extraction, object detection, YOLO, transfer learning โœ… Robotics & Autonomous Systems: ROS, robot perception, localization, navigation, sensor fusion โœ… Graph AI: Graph Neural Networks, knowledge graphs, graph embeddings, graphical models โœ… Probabilistic AI: Bayesian networks, stochastic systems, Markov models, variational inference โœ… HCI/BCI & Signal Processing: EEG preprocessing, FFT, filtering, feature extraction, ML classification โœ… AI Automation: n8n, Make, OpenAI, Claude, Grok, Ollama, API integrations โœ… AI Lead Generation: scraping, enrichment, data cleaning, LLM-powered research automation โœ… Research & Prototyping: LaTeX, Overleaf, literature review, academic writing, journal research Core Skills: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, Generative AI, RAG, Vector Search, AI Agents, Prompt Engineering, Retrieval Evaluation, Data Preprocessing, Feature Engineering, Model Training, Hyperparameter Tuning, Transfer Learning, Reinforcement Learning, Explainable AI, Computer Vision, Robotics, ROS, Graph Neural Networks, Knowledge Graphs, Probabilistic Models, Stochastic Systems, Applied Linear Algebra, Optimization, Signal Processing, EEG Analysis, Human-Computer Interaction, Research Methodology. Tools: Python PyTorch TensorFlow Keras, Scikit-learn HuggingFace LangChain LangGraph LlamaIndex FAISS Pinecone ChromaDB, FastAPI OpenAI API Claude API Ollama Grok Jupyter Colab Anaconda PyCharm MATLAB ROS Overleaf LaTeX. I focus on practical AI systems that are testable, maintainable, and reliable after delivery. I clarify requirements early, check data quality, define evaluation criteria, and build workflows with validation, visibility, and error handling. If you need an AI prototype, RAG chatbot, NLP model, ML pipeline, research implementation, or automation workflow, send me your use case, and Iโ€™ll suggest a clear approach.

  • Artificial Intelligence
  • Generative AI
  • Python
  • LangChain
  • AI Development
  • Automation
  • OpenAI API
  • LLM Prompt Engineering
  • Machine Learning
  • Conversational AI
  • AI Chatbot
  • AI Agent Development
  • API Integration
  • Retrieval Augmented Generation
  • AI Instruction
  • Hugging Face
  • Vector Database
  • Data Processing
  • Neural Network
  • Academic Research
Muiz U.

Gilgit, Pakistan

$5/hr
4.1
13 jobs

โœจ Your Partner for Data Science, Full-Stack AI, and Generative AI Solutions Hi! Iโ€™m Muiz Ud Din, a Top Rated Data Scientist and Full-Stack AI Engineer with 4+ years of experience. I specialize in developing complex Python automation workflows, Machine Learning (ML), Deep Learning (DL), and NLP models that solve real-world problems. By merging Advanced Data Science with Full-Stack AI development, I build production-ready Generative AI systems and scalable, data-driven infrastructure. ๐Ÿ”น Services I Offer: Data Science & Machine Learning: As a dedicated Data Scientist, I design high-performance Machine Learning pipelines. My work involves advanced Data Analytics, NLP, and Deep Learning. I help businesses turn raw data into intelligence using expert Data Science methodologies, predictive modeling, and NLP techniques to drive ROI. Generative AI & LLM Agents: I develop Full-Stack AI applications featuring autonomous LLM Agents and RAG systems. I specialize in Agentic Workflows using n8n and Groq to build self-healing systems. Whether you need a Generative AI chatbot, a Voice-to-Voice AI consultant, or a complete AI dashboard, I provide the end-to-end architecture. Automation, CRM & Web Scraping (GHL Expert): I build robust Automation systems using Python, n8n, and GoHighLevel (GHL). My expertise includes Stealth Web Scraping (Playwright/Selenium) to bypass Cloudflare/Bot-walls, GHL API/Webhook integrations, and workflow optimization. I bridge the gap between your CRM and AI to automate lead qualification and complex business operations. Data Analytics & Infrastructure: I deliver actionable insights through Data Analytics and visualization (Power BI/Tableau). I handle the underlying infrastructure using Docker and VPS Deployment to ensure your scalable applications are production-ready and secure. ๐Ÿ”น Key Accomplishments & Case Studies: ๐Ÿš€ Autonomous Sales Intelligence Engine (NexusScout-AI): Engineered a decentralized pipeline that monitors global news triggers via RSS. This system uses AI Agents to autonomously scout company data, extract contact emails, and generate personalized outreach, all managed via a Slack-based approval gate. ๐Ÿš€ Large-Scale Data Engineering & Sports Analytics: As a lead Data Scientist, I engineered a pipeline processing millions of data points. I leveraged Generative AI to transform raw sports data into high-quality insights, utilizing advanced Data Analytics and high-volume data cleaning at scale. ๐Ÿš€ Multi-Modal Voice AI & Real-time Synthesis: Developed a real-time voice-interactive chatbot featuring mic-to-text input and neural voice output. This demonstrates mastery in low-latency LLM processing and multi-modal AI integration for linguistic consultation. ๐Ÿš€ Enterprise SaaS & CRM Integration (GHL): Developed a comprehensive Full-Stack AI SaaS for business management. Integrated complex automation using GoHighLevel, Twilio, and Gmail APIs, allowing companies to analyze and manage operations from a single dashboard with full VPS Deployment. ๐Ÿš€ Advanced Browser & App Automation: Built a sophisticated Automation system for a private web and mobile application. The system automated everything from login to complex user actions, utilizing advanced Web Scraping for player ID extraction, secure session management (cookies/security handling), and Docker for containerized deployment. ๐Ÿ“ˆ Why Choose Me? โœ… Data Scientist with a track record of ROI-focused, data-driven results. โœ… Full-Stack AI specialist: I handle the frontend, backend, and the AI brain. โœ… Automation expert who prioritizes security, stealth, and account longevity. โœ… Expert in 2026 Frameworks: Specialized in LLM Agents, n8n, and Groq. โœ… Strategic Problem Solver: I thrive on solving complex technical challenges. โœ… Dignified Communication: 100% transparency and professional ethics. โœ… Always Eager to Learn: I stay up-to-date with the latest Generative AI tools and industry shifts. โœ… Strategic Problem Solver: I thrive on solving complex technical challenges with creative Automation solutions. โœ… Professional & Collaborative: I value a friendly, "family-like" environment where we work as true partners. ๐Ÿ† Industries Served: Finance | Healthcare | E-Commerce | Tech Startups | Retail | Energy | SaaS | Sports ๐Ÿ› ๏ธ Technical Stack: Data Science/ML/AI: Python, TensorFlow, PyTorch, Scikit-learn, NLP (HuggingFace), Pandas, NumPy. Generative AI: OpenAI, Claude, LLM Agents (n8n), LangChain, RAG Systems, Groq. Full-Stack: Next.js, React, Python (FastAPI/Flask), SQL, Supabase. Analytics: Power BI, Tableau, Advanced SQL, Data Visualization. Automation: GoHighLevel(GHL), Playwright, Selenium, n8n, Make, Python. DevOps: Docker, VPS Deployment, Git, Linux/Ubuntu. ๐ŸŒŸ Letโ€™s work together to unlock the full potential of your data and AI initiatives. I'm excited to help you automate, innovate, and grow your business using the latest technologies. ๐Ÿ”— Contact me today โ€” Let's build your next AI breakthrough!

  • Machine Learning
  • Deep Learning
  • NLP Tokenization
  • Data Visualization
  • Data Mining
  • Computer Vision
  • Object Detection
  • Artificial Intelligence
  • Data Analysis
  • Data Cleaning
  • Python
  • Error Detection
  • Problem Solving
  • Data Science
  • Automation
Waqar R.

Peshawar, Pakistan

$20/hr
5.0
2 jobs

๐— ๐—ฎ๐—ป๐˜‚๐—ฎ๐—น ๐—ฏ๐˜‚๐˜€๐˜†๐˜„๐—ผ๐—ฟ๐—ธ, ๐˜€๐—น๐—ผ๐˜„ ๐—ฟ๐—ฒ๐—ฝ๐—น๐—ถ๐—ฒ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ถ๐˜€๐—ฐ๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜๐—ฒ๐—ฑ ๐˜๐—ผ๐—ผ๐—น๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—พ๐˜‚๐—ถ๐—ฒ๐˜๐—น๐˜† ๐—ฐ๐—ผ๐˜€๐˜๐—ถ๐—ป๐—ด ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐˜„๐—ฒ๐—ฒ๐—ธ. I build ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ that eliminate repetitive work, automate operations, and connect the tools your business already uses. I work with founders and teams who've already tried a basic chatbot or no-code AI tool, hit its limits, and now need someone who can engineer a system that actually performs with ๐—ฟ๐—ฒ๐—ฎ๐—น ๐˜‚๐˜€๐—ฒ๐—ฟ๐˜€, ๐—ฟ๐—ฒ๐—ฎ๐—น ๐˜„๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ฟ๐—ฒ๐—ฎ๐—น ๐—ฑ๐—ฎ๐˜๐—ฎ. ๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ๐˜€ ๐—œ ๐—ฆ๐—ผ๐—น๐˜ƒ๐—ฒ โœ… Manual, repetitive workflows eating up your team's time โœ… Customer support that can't keep up with growing demand โœ… AI prototypes that worked in testing but failed in production โœ… Company knowledge that's scattered and impossible to search โœ… Disconnected tools (CRM, Email, Calendar, APIs) that need to work together ๐—–๐—ผ๐—ฟ๐—ฒ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ๐˜€ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ & ๐— ๐˜‚๐—น๐˜๐—ถ-๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ LangChain, CrewAI, OpenAI Agents SDK ๐‘๐€๐† ๐‚๐ก๐š๐ญ๐›๐จ๐ญ๐ฌ Train AI on your company's documents, knowledge base, and internal data. ๐–๐จ๐ซ๐ค๐Ÿ๐ฅ๐จ๐ฐ & ๐‚๐‘๐Œ ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง n8n, APIs, Webhooks ๐•๐จ๐ข๐œ๐ž ๐€๐ˆ ๐€๐ฌ๐ฌ๐ข๐ฌ๐ญ๐š๐ง๐ญ๐ฌ Custom AI Backend Development & API Integrations ๐‘๐ž๐œ๐ž๐ง๐ญ ๐๐ฎ๐ข๐ฅ๐๐ฌ ๐€๐ˆ ๐’๐š๐ฅ๐ž๐ฌ & ๐‚๐‘๐Œ ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐€๐ˆ ๐‚๐ฎ๐ฌ๐ญ๐จ๐ฆ๐ž๐ซ ๐’๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ ๐€๐ˆ-๐€๐ฌ๐ฌ๐ข๐ฌ๐ญ๐ž๐ ๐๐จ๐จ๐ค๐ข๐ง๐  ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ ๐“๐ž๐œ๐ก ๐’๐ญ๐š๐œ๐ค LLMs OpenAI GPT โ€ข Claude โ€ข Llama 3 โ€ข Mistral โ€ข Google Gemini 3.x โ€ข Kimi K3 ๐€๐ ๐ž๐ง๐ญ ๐…๐ซ๐š๐ฆ๐ž๐ฐ๐จ๐ซ๐ค๐ฌ LangChain โ€ข LlamaIndex โ€ข CrewAI โ€ข OpenAI Agents SDK โ€ข AutoGen โ€ข Pydantic AI โ€ข LangGraph โ€ข Google ADK (Agent Development Kit) ๐‘๐€๐† & ๐•๐ž๐œ๐ญ๐จ๐ซ ๐ƒ๐š๐ญ๐š๐›๐š๐ฌ๐ž๐ฌ Pinecone โ€ข Qdrant โ€ข ChromaDB โ€ข FAISS ๐€๐ˆ ๐๐ซ๐จ๐ญ๐จ๐œ๐จ๐ฅ๐ฌ & ๐’๐ญ๐š๐ง๐๐š๐ซ๐๐ฌ โ€ข MCP (Model Context Protocol) โ€ข A2A (Agent-to-Agent Protocol) โ€ข Function Calling โ€ข Structured Outputs โ€ข Tool Calling ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง n8n โ€ข REST APIs โ€ข Webhooks โ€ข Async Workers โ€ข GHL(GoHighLevel) โ€ข Zapier ๐๐š๐œ๐ค๐ž๐ง๐ Python โ€ข FastAPI โ€ข PostgreSQL โ€ข Redis โ€ข Docker ๐‚๐ฅ๐จ๐ฎ๐ & ๐ƒ๐ž๐ฉ๐ฅ๐จ๐ฒ๐ฆ๐ž๐ง๐ญ AWS โ€ข GCP โ€ข RunPod โ€ข Azure โ€ข Docker โ€ข Kubernetes ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ ๐€๐ˆ ๐“๐จ๐จ๐ฅ๐ฌ Claude Code โ€ข Codex CLI โ€ข Cursor AI โ€ข GitHub Copilot โ€ข OpenCode ๐ˆ๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ข๐ž๐ฌ ๐ˆ ๐‡๐ž๐ฅ๐ฉ SaaS Startups Agencies eCommerce Service Businesses ๐‹๐ž๐ญ'๐ฌ ๐“๐š๐ฅ๐ค Have an AI idea or a workflow that's wasting your team's time? Send me your use case, and I'll reply with a short breakdown of how I'd approach it. No generic pitch. Just a practical plan tailored to your business.

  • Chatbot
  • Machine Learning
  • Python
  • Flask
  • LangChain
  • Bot Development
  • Artificial Intelligence
  • Generative AI
  • Generative AI Prompt Engineering
  • Generative AI Software
  • Generative Model
  • FastAPI
  • ChatGPT API Integration
  • AI Agent Development
  • n8n
Ibad A.

Islamabad, Pakistan

$15/hr
5.0
1 jobs

Need to automate a repetitive business process or build an AI-powered workflow? I can help you turn it into a reliable, practical solution using AI, Python, APIs, and automation. I build AI-powered automation systems that turn messy data into decisionsโ€”and decisions into automated actions. Whether you need a lead-generation system that runs on autopilot, an AI agent that understands your documents, a Python data pipeline, or an automation workflow connecting your tools and data, I build systems designed to work with real-world data and real business processes. Hi, I'm Ibad Ahmed, an AI Automation Engineer specializing in n8n, Python, AI agents, RAG systems, and data-driven automation. I help startups, SaaS companies, and growing businesses automate repetitive processes, extract value from messy data, and connect AI directly to the workflows they already use. My focus is on building practical, reliable systemsโ€”not proof-of-concept demos that stop working when real data enters the system. WHAT I BUILD AI Automation & Workflow Systems End-to-end n8n workflows that collect data, process it, use AI for reasoning, and automatically trigger the next action. AI Agents & RAG Systems AI agents that work with your documents and business data, using retrieval and structured context to provide grounded, useful answers. Python & Data Pipelines Custom Python scripts, data extraction, cleaning, transformation, backend logic, and automation when a workflow needs more than a no-code solution. API & Business Integrations Connecting tools such as Google Sheets, CRMs, Gmail, WhatsApp, AI APIs, databases, and other services into one automated workflow. WHAT I BRING Hands-on n8n experience across scraping, AI reasoning, and multi-step workflows Experience building RAG-based AI agents grounded in real documents and data End-to-end automation pipelines from data collection โ†’ processing โ†’ AI scoring โ†’ automated action Strong Python and SQL skills for custom logic, data processing, and integrations Ability to take ownership of a project from workflow design through implementation and testing A data-science background that helps me work with messy, unstructured, and real-world data TOOLS & TECHNOLOGIES Automation: n8n, Workflow Automation Programming: Python, SQL AI: OpenAI, Groq, LLM APIs, Prompt Engineering, AI Agents RAG: Pinecone, Vector Databases, Retrieval-Augmented Generation Data: Data Cleaning, Data Modeling, Web Scraping Integrations: Google Sheets, Google Workspace APIs, REST APIs My process starts with understanding the business problem, not just the tools you think you need. I'll map the workflow, identify what should be automated, build the system, test it against real-world data, and deliver something you can actually use day-to-day. If you have a repetitive process, messy dataset, AI idea, or workflow that needs to run without constant manual work, send me the details. I'll help you figure out the most practical way to automate it.

  • n8n
  • Data Analysis
  • Python
  • Build Automation
  • SQL
  • Microsoft Power BI Data Visualization
  • Generative AI
  • Data Modeling
  • Decision Making
  • Problem Resolution
  • Artificial Intelligence
  • Machine Learning
  • Django
  • Data Analytics
  • Flask
  • FastAPI
  • Web Development
  • App Development

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Groq developer hiring guide

Groq developers help businesses build fast AI applications that use GroqCloud and the Groq API for low-latency large language model (LLM) inference. They can support chatbots, AI assistants, copilots, Retrieval-Augmented Generation (RAG) workflows, and support automation where response speed, reliability, and production readiness matter.

Hiring a Groq developer is useful when you need more than a basic API connection. A skilled developer can evaluate model fit, design prompt and retrieval workflows, implement streaming responses, handle rate limits, and prepare your application for real users. If your project also involves broader AI strategy or model development, you may want to explore hiring an AI developer or LLM specialist for complementary support.

What does a Groq developer do?

A Groq developer integrates GroqCloud and Groq API capabilities into AI-powered applications, with a focus on fast inference, reliable responses, and maintainable backend implementation. This work often includes configuring OpenAI-compatible client libraries, selecting supported models, designing prompt workflows, enabling streaming response experiences, and connecting the AI layer to product data, retrieval systems, or third-party tools.

Common deliverables include API integration code, working chat or completion prototypes, prompt templates, RAG pipeline documentation, rate-limit and retry logic, deployment scripts, testing notes, and handoff documentation. Depending on the project, a Groq developer may collaborate with backend developers on API architecture, chatbot developers on conversation design, or product teams that manage ongoing iteration after launch.

How to hire a Groq developer on Upwork

Hiring a Groq developer on Upwork starts with a clear job post, then moves through candidate evaluation, structured interviews, and a written scope before work begins. The stronger your requirements are at the start, the easier it is to compare proposals and reduce rework.

Step 1: Post a job

Start by describing what the Groq developer needs to build, how Groq fits into your product, and what success looks like. A strong job post includes:

  • Product goal and user-facing AI feature, such as a chatbot, assistant, copilot, or workflow automation tool
  • Current tech stack, including backend framework, frontend app, cloud provider, and deployment environment
  • Required integrations, such as databases, authentication, retrieval systems, customer support tools, or third-party APIs
  • Expected model behavior, including streaming needs, context length, latency goals, and output format
  • Project stage, such as prototype, migration, production build, or ongoing optimization
  • Success criteria, such as response quality checks, latency targets, error handling, and handoff documentation

Use the Job Post Generator, powered by Umaโ„ข, Upwork's Mindful AI, to draft a customizable job post. Describe your project in a few sentences, and Uma will create a starting point you can refine. You can also review this job description template to structure responsibilities, required skills, deliverables, and success criteria.

Step 2: Evaluate candidates

Review proposals and shortlist candidates whose experience shows shipped LLM applications, not only basic API familiarity. Focus on:

  • Portfolio examples or case studies involving LLM apps, chatbots, RAG systems, or AI product integrations
  • Programming fluency in Python, JavaScript, TypeScript, or relevant backend frameworks such as FastAPI, Flask, Node.js, or Next.js
  • Technical judgment in the proposal, including how the freelancer discusses model choice, data flow, latency, rate limits, testing, and fallbacks
  • Relevant experience with OpenAI-compatible APIs, streaming responses, retrieval systems, or tool integrations
  • Client reviews that mention production deployment, documentation, communication, and testing rigor
  • Availability and time zone overlap if your project needs real-time debugging or launch support
  • Job Success Score and talent badges, such as Top Rated or Expert-Vetted

Use Upworkโ€™s shortlist and side-by-side comparison tools to organize candidates before interviews. A common hiring pitfall is choosing the lowest-cost proposal without confirming how the developer will test response quality and handle failures in production.

Step 3: Interview your top choices

Interview your top choices with a structured 20-30 minute agenda that validates architecture judgment, Groq API experience, and communication style. Ask practical questions such as:

  • How would you choose between Groq-supported models for this use case?
  • How would you implement streaming responses in our current app?
  • What would you test before moving this AI feature into production?
  • How would you handle rate-limit errors, API failures, or unexpected model outputs?
  • What documentation would you provide at handoff?
  • How would you estimate timeline and communicate progress?

Use Instant Interviews to collect structured video responses early, then move the strongest candidates to a live discussion. You can also use Upworkโ€™s built-in messaging and video tools to keep interview communication in one place. For general screening ideas, review these common Upwork interview questions.

Step 4: Agree on scope and begin work

Before work starts, finalize the contract in writing so deliverables, review points, communication expectations, and payment terms are clear. Use Upworkโ€™s contract workroom to keep milestones, approvals, and change requests documented.

Before the project starts:

  • List final deliverables, what is included, and what is outside scope
  • Set milestones for fixed-price work or weekly expectations for hourly work
  • Define success criteria, such as latency targets, streaming behavior, error handling, or acceptance tests
  • Confirm communication cadence, including update frequency and review checkpoints
  • Confirm payment terms, including milestone amounts or hourly expectations and how project funds will be managed
  • Document the revision process and how approved scope changes will be added to the contract
  • Clarify when API keys, repositories, staging environments, or data sources will be shared after the contract starts

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 Groq developer cost?

Groq developer project costs typically range from about $800 for a basic API integration to $20,000 or more for a production-ready AI application with monitoring, fallback logic, and complex integrations. Groq-specific rates vary because Upwork does not publish a dedicated Groq developer cost benchmark, so related AI developer rates and machine learning expert rates can provide useful reference points.

The table below outlines typical market ranges for common Groq development scopes. Final cost depends on app complexity, model requirements, turnaround time, data access, testing depth, and the seniority needed for architecture decisions.

Basic Groq API integration

$800-$2,500/project

Entry-level to mid-level
  • API connection to an existing app
  • Simple chat or completion flow
  • Developer handoff notes and test guidance

AI chatbot or assistant prototype

$2,000-$6,000/project

Mid-level
  • Streaming chat prototype
  • Prompt templates and model configuration
  • Basic error handling and demo environment

RAG or workflow application

$5,000-$15,000/project

Mid-level to senior
  • Retrieval pipeline and grounding logic
  • Tool or function-calling workflow
  • QA plan and deployment notes

Production-ready Groq deployment

$8,000-$20,000+/project

Senior-level
  • Monitoring and observability plan
  • Retry logic, rate-limit handling, and fallbacks
  • Production checklist and documentation

Ongoing optimization and support

$3,000-$10,000/project

Mid-level to senior
  • Prompt and model updates
  • Latency and error monitoring
  • Bug fixes and feature backlog support

Costs increase when the developer needs to design architecture, connect sensitive data sources, validate response quality, or support production traffic. For broader budgeting context, review Upworkโ€™s guide to hourly rates and compare adjacent AI development roles.

FAQs about Groq developers

Frequently asked questions

Is hiring a Groq developer worth it?

Hiring a Groq developer can be worth it when your AI product depends on fast responses, reliable streaming, and a backend that can handle real user traffic. Groqโ€™s official documentation positions GroqCloud for fast, OpenAI-compatible LLM inference, which makes it relevant for chat, assistant, and workflow use cases where latency affects the user experience.

The value is strongest when a developer can connect speed to product outcomes, such as lower wait times, better support flows, or smoother internal tools. As mentioned earlier, define whether you need a prototype, migration, RAG workflow, production deployment, or ongoing optimization before comparing candidates.

Can a Groq developer migrate my existing AI app from another provider?

A Groq developer can often support migration if your app uses OpenAI-compatible APIs, because Groq provides OpenAI compatibility for many common integration patterns. Migration still requires testing because model behavior, supported features, rate limits, and response quality may vary by use case.

What skills should I look for in a Groq developer?

To hire a Groq developer, look for LLM application experience, backend development skills, prompt workflow design, streaming response implementation, rate-limit handling, and production monitoring experience. Strong candidates can explain how they test response quality and handle errors, not just how they call an API.

Relevant experience may include Python, JavaScript, TypeScript, FastAPI, Node.js, vector databases, RAG systems, OpenAI-compatible APIs, and cloud deployment. Certifications are less common for Groq-specific work, so prioritize portfolios, case studies, and shipped AI products.

What information should I share before and after hiring?

Before hiring a Groq developer, share enough information to scope the work, such as product goals, tech stack, target users, expected integrations, and sample non-sensitive data. Avoid sharing credentials, private repositories, customer data, or production access during proposal review.

After the contract starts, share the access needed to complete the agreed work, such as API keys, staging credentials, code repositories, documentation, or approved datasets. Use the minimum access required and remove access when the project ends.

How do Groq developers handle production readiness?

Groq developers handle production readiness by planning for API limits, retries, monitoring, fallback behavior, logging, and response validation. They may also document deployment steps, environment variables, model configuration, and acceptance tests so your team can maintain the system after launch.