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.