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𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈 / 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | AI Automation Expert

Bütçe: $1700.0 FIXED / ⭐ 0.00 (0) PAK

artificial-intelligence, python, machine-learning, natural-language-processing, automation, tensorflow, deep-learning, chatbot-development, artificial-neural-networks, data-science

We are looking for an experienced AI/ML Engineer to help us build production-ready AI solutions for our business. The ideal candidate should be able to understand business problems, suggest the right AI approach, and build reliable systems that can be used in real workflows — not just demos or prototypes. The main focus will be on building AI-powered applications using LLMs, RAG pipelines, AI agents, chatbots, automation workflows, and machine learning models. You should be comfortable working with APIs, vector databases, backend systems, cloud deployment, and data pipelines. 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: • Build custom AI chatbots and AI assistants • Develop RAG pipelines using vector databases • Create AI agents for business automation • Integrate OpenAI, Claude, Gemini, Llama, or similar LLMs • Build backend APIs using Python, FastAPI, Flask, Django, or Node.js • Connect AI systems with CRMs, websites, dashboards, and third-party tools • Automate business workflows using n8n, Make, Zapier, APIs, or webhooks • Work with structured and unstructured data, including PDFs, documents, websites, and databases • Build ML models for prediction, classification, forecasting, or analytics when needed • Deploy AI solutions to cloud platforms and ensure performance, logging, and monitoring 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬: • Strong experience with Python and AI/ML development • Hands-on experience with LLMs and Generative AI • Experience with OpenAI API, Claude, Gemini, Llama, or Hugging Face • Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar tools • Strong understanding of RAG, embeddings, vector search, and prompt engineering • Experience with vector databases like Pinecone, Supabase pgvector, ChromaDB, Weaviate, Qdrant, or OpenSearch • Ability to build clean APIs and backend systems • Experience with automation tools like n8n, Make, or Zapier is a plus • Experience with cloud deployment using AWS, GCP, Azure, Docker, or DigitalOcean • Good communication and ability to explain technical decisions clearly 𝐖𝐡𝐚𝐭 𝐖𝐞 𝐀𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫: We need someone who can think beyond just coding. You should be able to review the business problem, suggest the best technical direction, and build a system that is scalable, maintainable, and useful for real users. Please apply with: A short summary of similar AI/ML systems you have built Your experience with LLMs, RAG, AI agents, and automation Your preferred tech stack A brief explanation of how you would approach this project Links to relevant projects, demos, GitHub, or case studies if available We are open to starting with a smaller first milestone and expanding the work if the first phase goes well.
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