Job Opportunities API

As a Senior Product Engineer, your role will focus on shaping the Azumuta product as part of a team, with growing ownership. Strong full-stack engineers are very welcome. Backend-leaning engineers are equally welcome, because much of what we are building is deeply backend-shaped : AI agents and orchestration, structured execution data at granular depth, deep integrations with the IT systems our customers already run, multi-tenant and on-prem deployment topologies. You are building toward a specialization, not expected to have fully arrived there yet. 🚀 Three concrete problems on our plate: Work instructions from video. A process engineer records a short video of an operation; our system produces a structured, version-controlled instruction the team can review and ship. A continuous-improvement agent. Dashboards already show deviations. We want an agent that proposes evidence-backed instruction changes: not "cycle time is up on station 3" but "rework concentrates on step 7, here is the fix and the data behind it." Multi-level BOMs and nested assemblies. Industrial products are deeply nested; we handle the leaves but not the tree. Data model, variant rollup, integration with engineering data, routing. Foundational, and what unlocks our most variant-heavy customers. 🛠️ The stack Our core stack today is Node.js, TypeScript, React, and MongoDB on cloud infrastructure. The upcoming work stretches it significantly: LLM and agent orchestration, MCP-style tool use, computer vision for shop-floor verification, video understanding for instruction generation, software interfaces for robots and humanoids on the factory floor, observability and deployment across multi-tenant SaaS, private cloud, and on-prem / air-gapped factories. Strong experience in Java, .NET, Go, Python or similar is fine. Mindset matters more than prior framework experience. Learning a stack is easier than learning how to think about software at scale. 💻 About our platform We are building the execution platform for hybrid manufacturing : the system that orchestrates work on the shop floor across humans, AI agents, and robotic systems . The platform is used daily by thousands of operators across Europe to design, execute, and continuously improve work in high-mix, low-volume factories. The technical reality is rich: multi-level BOMs, variant-heavy product structures, sequence-dependent execution, version-controlled executable work. And the bet on top is bigger: vision-based step verification, agentic execution supervision, autonomous continuous improvement, factory replay for model training. None of this is slideware. It is what we are building over the coming years. 🎯 You’d Be a Great Fit If You: Are a builder who is growing into depth. +5 years building real software products, ideally a SaaS one. You have shipped to real users, broken things in production, and learned from it. Full-stack capable, with a developing specialization on one side: Backend: distributed systems, multi-tenant SaaS, APIs and integrations, data modeling. Frontend: complex application UX, real-time interfaces, performant data-dense dashboards. Love building with modern AI . You are excited about agentic development, not skeptical. If you are not yet using an agent-based coding tool daily, this role is not the right fit right now. You already use Claude Code, Cursor, or similar agent-based tools in your daily work to plan, write code, and test. You want to push further and you are actively learning: what agent loops look like in practice, how to think about prompt and context engineering, what makes an AI-assisted workflow actually reliable. Have a continuous improvement mindset. You see how the team works as something to be improved, not accepted. Tooling, processes, feedback loops, all of it. Some examples: If our p90 cycle time is 10 days and you do not find that annoyi