Founding AI Systems Architect | Multi-Agent AI, LangGraph, RAG, FastAPI, Enterprise LLM Platform

Build the Next Generation of Enterprise AI Systems We are looking for a Founding AI Systems Architect to help us design and build an intelligent AI platform that functions as an AI Operating System for modern businesses. This is not a chatbot, prompt engineering, or simple automation project. We're creating a platform where specialized AI agents collaborate, retrieve knowledge, execute workflows, communicate with external systems, and continuously improve through structured memory and enterprise knowledge. If you've been looking for an opportunity to build something that pushes beyond today's AI applications, this is it. What You'll Build You'll architect and develop a production-ready AI platform capable of: Multi-Agent Collaboration Enterprise Knowledge Retrieval AI Memory Systems Intelligent Workflow Automation Autonomous Task Execution AI Decision Support Document Intelligence Research & Analysis Agents Enterprise Search Internal AI Copilot Business Process Automation Human-in-the-Loop AI Workflows The system must be modular, scalable, secure, and designed for long-term evolution rather than short-term prototypes. Core Responsibilities You will lead the technical architecture and implementation of the platform, including: Designing Multi-Agent AI architectures using LangGraph or equivalent orchestration frameworks Building enterprise-grade Retrieval-Augmented Generation (RAG) pipelines with semantic search and hybrid retrieval Developing scalable backend services using Python, FastAPI, and asynchronous processing Integrating GPT-5, Claude, Gemini, DeepSeek, and future LLM providers through a unified model layer Implementing Model Context Protocol (MCP) integrations and function calling Designing long-term memory, knowledge organization, and AI context management Building secure APIs, event-driven workflows, and enterprise integrations Optimizing latency, inference costs, retrieval quality, and AI reliability Designing observability, evaluation, prompt versioning, and AI governance processes Collaborating with leadership to define technical strategy and long-term platform direction Required Technical Expertise Generative AI GPT-5 Claude Gemini DeepSeek OpenAI API Anthropic API Prompt Engineering Structured Outputs Function Calling MCP (Model Context Protocol) AI Frameworks LangGraph LangChain LlamaIndex CrewAI AutoGen Knowledge & Retrieval Retrieval-Augmented Generation (RAG) Vector Databases Pinecone Weaviate Qdrant ChromaDB Semantic Search Hybrid Search Embeddings Knowledge Graphs Backend Engineering Python FastAPI PostgreSQL Redis Celery RabbitMQ GraphQL WebSockets REST APIs Cloud & Infrastructure AWS Docker Kubernetes Terraform GitHub Actions CI/CD Prometheus Grafana Distributed Systems What Makes You a Great Fit We're looking for engineers who naturally think in terms of systems, not isolated features. You should enjoy solving problems like: How should multiple AI agents coordinate complex work? How should enterprise knowledge be structured for long-term retrieval? How do we balance reasoning quality, latency, and cost? How should AI systems maintain memory across users and organizations? How can human approval be integrated without slowing automation? If these questions excite you, you'll likely enjoy working on this project. Bonus Experience Experience with any of the following is highly valued: Enterprise AI Platforms AI Copilots AI Operating Systems Multi-Tenant SaaS Knowledge Management Systems Workflow Automation Enterprise Search AI Evaluation Frameworks LLM Observability Agentic AI Event-Driven Architecture Real-Time AI Applications When Applying Please include: A brief overview of the most advanced AI platform you've designed or built Examples of Multi-Agent Systems or Agentic AI projects RAG or enterprise knowledge systems you've implemented Your preferred architecture for large-scale AI platforms GitHub, technical portfolio, or architecture diagrams (if available) Your availability and hourly rate We are looking for a long-term technical partner who wants to build infrastructure that businesses will rely on every day. If you're passionate about architecting intelligent systems rather than simply integrating APIs, we'd love to hear from you.