Project Title: Senior AI Engineer or Small Team – Build PropertySuper.com (AI-Powered Property Maintenance SaaS) Project Type: Fixed Price or Hourly (your choice) Budget Range: Individual: $15,000 – $25,000 (fixed) or $45–$90/hour Small team (2–4 people): $20,000 – $40,000 (fixed) or $90–$160/hour combined (We are flexible for the right talent) Project Description: We are New York Online Realty and we are launching PropertySuper.com – a fully AI-native SaaS platform that acts as a 24/7 “AI superintendent” for property owners, landlords, and property managers. The platform completely automates maintenance coordination using the latest agentic AI technology stack. We are looking for an experienced individual OR a small, high-output team (max 4 people) who can take full ownership and build the entire MVP from scratch in 3–6 months, with strong potential to become a long-term core development partner. High-level scope (details shared only after NDA): Multi-channel intelligent request intake & automation Advanced agentic workflows with tool-calling, memory, planning, and evaluation RAG pipelines over property/maintenance data Real-time routing, scheduling, escrow payments, and marketplace logic Scalable cloud backend + light admin/user dashboards Required experience (must be covered by you or your team): Production systems shipped with: LangGraph, LangChain, Lovable, OpenAI Assistants API, Anthropic tool use, CrewAI, AutoGen Advanced RAG (hybrid search, rerankers, citations, structured extraction) Tool-calling + JSON schema orchestration Modern LLMs: o1, GPT-4o, Claude 3.5/3.7 Sonnet, Gemini, Llama 3.x+, etc. Vector stores: Pinecone, Weaviate, pgvector, Qdrant Observability & evals: LangSmith, Ragas, promptfoo, guardrails Deployment: Vercel, Modal, Fly.io, Cloudflare Workers, serverless Integrations: Stripe (escrow), Twilio/SMS, Google Calendar, third-party APIs Nice to have: Real-time features (WebRTC) Light frontend (Next.js / Remix / SvelteKit) or rapid prototyping tools (Streamlit/Gradio) Previous work in real estate, marketplace, or field-service platforms How to bid: State clearly: “Applying as Individual” or “Applying as Team” (list team members & primary strengths) Share 2–3 relevant projects (live links, GitHub repos, or short case studies) that demonstrate agentic AI workflows, RAG, or complex tool-calling systems In 2–3 sentences, describe how you would design a 24/7 autonomous AI agent that handles property maintenance with zero human coordination Top candidates will be asked to sign a quick NDA and will then receive the complete 143-page technical blueprint + superhero logo for fun. We actively welcome talent from the Philippines, India, Bangladesh, Pakistan, Eastern Europe, Latin America, and Africa. Looking forward to building something game-changing together! Skills (add these when posting): Artificial Intelligence, Python, Machine Learning, LangChain, OpenAI, LLM, RAG, Pinecone, Vercel, Next.js, SaaS, Real Estate Technology, Agentic Workflows, Twilio, Stripe