Senior AI Systems Architect – Multi-Agent Orchestration, Memory Systems & AI Operating Platform

We are intentionally seeking systems architects and builders rather than prompt engineers or agency project managers. You should have personally designed and implemented production AI systems and be comfortable making architecture decisions and writing code. Seeking a senior, hands-on AI Systems Architect to design and build a modular AI operating system that reduces cognitive overload through multi-agent orchestration, long-term memory, and autonomous workflow execution. Think of it as an AI operating system for individuals and organizations that accumulates knowledge over time, remembers decisions and context, coordinates specialized agents, and executes real-world workflows. This is a long-term project with significant future expansion potential. ## Important Requirements We are specifically looking for senior, hands-on engineers and architects. Small teams are acceptable, but the primary engineer must be personally involved in both architecture and implementation. This is NOT a project for large agencies that delegate the work to junior developers. ## What You'll Help Build * Multi-agent orchestration systems * Persistent memory systems and long-term context management * Agent communication frameworks * Tool-calling infrastructure * Workflow automation and execution engines * Knowledge retrieval systems * Human-in-the-loop approval workflows * Scalable architecture capable of supporting future organizational use cases ## Preferred Experience Experience with some or all of the following: * Multi-agent systems * OpenClaw * MCP (Model Context Protocol) * LangGraph * CrewAI * AutoGen * LangChain * LlamaIndex * Agent frameworks and orchestration engines * Retrieval-Augmented Generation (RAG) * Vector databases * PostgreSQL * Redis * Graph databases * Python * TypeScript * Node.js * AWS, GCP, or Azure * Event-driven architectures * Production AI systems * Long-term memory and context management systems ## Ideal Candidate You: * Have designed systems that must remain maintainable for many years. * Think architecturally rather than simply wiring APIs together. * Understand reliability, observability, and scalability. * Have shipped AI systems into production. * Can explain complex concepts clearly. * Are comfortable challenging assumptions and proposing better solutions. ## Screening Questions 1. Describe the most complex multi-agent system you have personally designed and built. 2. How would you architect a system that continuously accumulates knowledge over years and retrieves only the most relevant context? 3. What experience do you have with: * OpenClaw * MCP * LangGraph * CrewAI * AutoGen * Tool calling * Vector databases * Long-term memory systems 4. How many engineers would be assigned to this project, and what percentage of the coding and architecture work would you personally perform? 5. Describe a difficult production problem you encountered in an AI system and how you solved it. ## Engagement * Long-term opportunity * Flexible engagement structure * Initial architecture and proof-of-concept phase followed by larger implementation phases * Looking for a technical partner, not simply a coder