Job Opportunities API

As a Full Stack 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. 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 annoying, this role is not for you. If you cannot run the full test suite efficiently before merging a PR a