Senior Backend Engineer (all genders)

Job description

About GeneralMind GeneralMind builds AI Systems of Action for complex enterprise workflows. We deploy AI employees that automate messy operational handovers across supply chains - processing orders, validating invoices, coordinating suppliers, and handling exceptions directly on top of enterprise systems like SAP, Oracle, JDE, and Dynamics. Our platform combines AI agents, operational context graphs, and real transaction data to achieve Autopilot-grade automation in real operational environments. We work closely with leading global companies across manufacturing, retail, and logistics to deploy AI into mission-critical workflows. About the role We are looking for a Senior Backend Engineer who is both broad and deep - someone who can hold the whole backend in their head and make good decisions across it, while also bringing a genuine spike that makes us meaningfully better in an area we're not yet strong in. That spike is the differentiator. Great engineering fundamentals get you to the interview. The thing you're unusually good at is what gets you the role. This role sits at the intersection of two things that are rarely mastered together: building robust, production-grade Python services and designing durable, observable workflow systems with tools like Temporal. But more than the specific technologies, we're looking for someone with the ownership instinct and the range to become the de facto owner of our entire backend - its architecture, its reliability, and its evolution. You will be a senior individual contributor working directly with the founders. The person in this role won't be handed a roadmap - they'll help define it, and build the team around it. What You'll Do Backend Ownership Own the backend end-to-end: service architecture, API design, reliability posture, and long-term technical direction. Be the person who knows how everything fits together - and who other engineers come to when they're not sure where something belongs. Set the bar on code quality, service boundaries, and shared abstractions across the engineering team. Make foundational decisions with conviction, document the reasoning, and evolve them as the system grows. Python Services & Production Systems Design for failure: retries, timeouts, graceful degradation, and recovery paths built in from the start. Write code that is easy to operate - observable, testable, and straightforwar…