Ameer Ali K.

Need an AI feature that works in production, not just in a demo? I build RAG chatbots, AI agents and LLM features inside real React, Node.js and Python products, with 12+ years of full stack engineering behind them. Proof you can check on this profile - RAG pipeline for a compliance-law platform: document processing, vector search and cited answers (5-star Upwork review) - Government AI knowledge assistant: RAG with LangGraph agent orchestration - AI recruitment platform: candidate matching that made hiring 40% faster - Document pipelines: 60% faster processing and 25% better retrieval accuracy What I build - RAG chatbots and knowledge assistants that answer from your documents, with source citations - AI agents that automate multi-step workflows across your CRM, Sheets, Slack and APIs, with human approval steps - AI features in your existing app: AI search, chat, summaries and data extraction - AI SaaS foundations: auth, multi-tenant, Stripe billing, usage and cost tracking Stack AI: OpenAI and Claude APIs, LangChain, LangGraph, CrewAI, Pinecone, Qdrant, pgvector Front end: React, Next.js, TypeScript, Tailwind CSS Back end: Node.js, Express, Python, FastAPI, Django Data and cloud: PostgreSQL, MongoDB, Redis, AWS, Docker, CI/CD How I work - Short scoping call, fixed milestones and a working demo in week one - Built fast with Claude Code, reviewed and tested like production code - Daily updates with overlap during US and European business hours - You own the code, documentation and deployment Tell me what you want AI to do in your product and I'll reply within 24 hours with an approach and estimate. Keywords: AI Full-Stack Developer, AI Engineer, Python Developer, Node.js Developer, LLM Developer, RAG Developer, AI Agent Development, Generative AI, OpenAI API Integration, Claude API, LangChain, LangGraph, FastAPI, React, Next.js, AI Chatbot Development, AI SaaS Development, Vector Database, Semantic Search, Retrieval-Augmented Generation, AI Automation.