Senior AI Full Stack Engineer | AI Agents | Workflow Automation | LLMs | Enterprise AI

We're hiring a Senior AI Full Stack Engineer to build production ready AI applications and enterprise workflow automation platforms. This is not a prompt engineering role. We need an engineer who can analyze business workflows, build AI Agents, integrate LLMs, and deliver scalable end to end AI solutions. Responsibilities ● Build AI Agents and AI powered workflow automation. ● Design custom AI solutions and intelligent automation systems. ● Analyze and optimize complex business workflows. ● Develop fullstack applications with AI integrations. ● Integrate OpenAI, Claude, Gemini, Grok, LangChain, LangGraph, MCP, RAG, and vector databases. ● Build scalable backend APIs and modern React/Next.js frontends. ● Integrate CRMs, payment gateways, third party APIs, webhooks, and enterprise systems. ● Develop automation using n8n, Make, Zapier, and custom orchestration. ● Deploy secure, scalable, production ready AI applications. Required Skills AI & Automation ● AI Agents ● Workflow Automation ● Custom AI Solutions ● OpenAI, Claude, Gemini, Grok ● LangChain, LangGraph ● RAG ● Vector Databases (Pinecone, Weaviate, Qdrant) ● AI Tool Calling ● Prompt Orchestration ● MCP (Model Context Protocol) Backend ● Node.js ● NestJS / Express ● Python (FastAPI/Django) ● REST APIs / GraphQL ● PostgreSQL ● MongoDB ● Redis Frontend ● React.js ● Next.js ● TypeScript ● Tailwind CSS ● shadcn/ui Cloud & DevOps ● Docker ● AWS ● Vercel ● CI/CD ● GitHub Automation ● n8n ● Make ● Zapier ● Webhooks Preferred Voice AI, AI Chatbots, Multi-Agent Systems, OCR, Computer Vision, Playwright, Supabase, Firebase. Requirements ● 5+ years Full Stack Development ● 2+ years building production AI applications ● Enterprise workflow automation experience ● SaaS architecture experience ● Strong communication and ownership mindset Questions to Answer in the cover Letter to consider, 1. Describe the most complex AI Agent or AI powered workflow automation platform you've built. What was your role? 2. Which AI technologies have you used in production? (OpenAI, Claude, Gemini, LangChain, LangGraph, MCP, RAG, Vector Databases, etc.) 3. Share 2–3 live AI projects and your GitHub profile. 4. Which automation platforms have you worked with? (n8n, Make, Zapier, custom workflow engines) 5. How do you approach understanding a client's business workflow before designing an AI solution? 6. Have you built multi tenant SaaS applications with authentication, billing, and role based access? Briefly explain. 7. Which backend and frontend technologies are you most experienced with? (Node.js, NestJS, Python, React, Next.js, TypeScript, PostgreSQL, MongoDB) 8. Describe a challenging third party API or AI integration you've completed and how you handled it. 9. What AI coding tools do you use daily (Cursor, Claude Code, GitHub Copilot, Windsurf, etc.), and how do they improve your productivity? 10. Why are you the right fit for building enterprise grade AI workflow automation platforms?