Hey everyone, We are currently looking for a capable AI Systems / Python Backend Engineer to join us as a strategic technical partner. 🤝 The Partnership Opportunity: Simon and I are highly experienced in business growth, scaling, and enterprise sales. We have a hot, high-velocity outbound pipeline and are actively engaging mid-market operations ($10M+ revenue band). We don't just want someone tucked away behind a screen writing code. We want a technical co-founder to ride along with us. You will be sitting beside us as our technical authority during discovery and scoping sessions with potential enterprise clients, helping us translate their operational pain into engineered solutions. 💼 The Commercial Structure: This is a founding partner / technical co-founder role. We are working on a deferred, milestone-based compensation or profit-share structure that triggers the moment we onboard our first wave of enterprise clients (which we are actively pitching and closing right now). If you want to leverage your engineering skills alongside a proven sales and business machine, this is your ground-floor entry point. 🧱 What We Are Building: We build API AIOS (Artificial Intelligence Operating Systems) and secure Operational Digital Twins that sit quietly on top of mid-market enterprise legacy systems (e.g., ERPs, custom SQL databases, and platforms like SimPRO). Our engine ingests raw operational edge data (chaotic email streams, webhooks, file logs), processes them asynchronously using multi-agent LLM loops, and pushes structured data payloads back into core legacy databases 100x faster than manual human coordination. 🛠️ The Tech Stack You'll Architect: - Infrastructure & Ingestion: Setting up isolated, multi-tenant cloud environments (AWS/GCP), secure cloud data lakes, webhook listeners, and raw email parsing engines. - Guardrails & Orchestration: Engineering programmatic cost-controls, semantic prompt caching, and managing complex, asynchronous Multi-Agent Loops utilizing frameworks like LangChain, CrewAI, or AutoGen (Sensing ──► Interpretation ──► Execution payloads). - Models & Action: Dynamic routing across frontier models (Claude 3.5 Sonnet, GPT-4o) and building custom, secure REST API connectors (OAuth 2.0) to inject validated JSON payloads back into client software.