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Senior product engineer (AI)

azumuta
Gand

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Détails de l'emploi

Avantages

Chèques repas
Assurance hospitalisation

Qualifications

Infrastructure cloud
Go
Node.js
MCP
React
Vision par ordinateur
MongoDB
.NET
Java
Master
Systèmes distribués
B2B
Production
SaaS
TypeScript
Python

Description complète du poste

What you'll do

You will ship the Azumuta product end-to-end with real ownership.

Strong full-stack engineers are very welcome. Heavy backend specialists 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.

Specialization in the right area is what makes a senior engineer exceptional, rather than spread thin.

Founded in 2016, Azumuta is a Manufacturing SaaS scale-up providing digital solutions to factories worldwide. 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.

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.

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.

Job requirements

Who are wel looking for?

A real builder, with depth: 5+ years building real software products, ideally a SaaS one. You have shipped to real users, lived through incidents, made trade-offs around reliability, observability, and cost. Full-stack capable, with real depth on one side:
- Backend: distributed systems, multi-tenant SaaS, AI and agent orchestration, integration with industrial systems, video and ML pipelines.
- Frontend: complex application UX, real-time interfaces, offline-capable tablet apps, performant data-dense dashboards.

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: orchestrate multiple agents in parallel to multiply your output while still shipping high-quality software you and the team actually understand. Hands-on with at least some of: agent loops and tool use, multi-agent orchestration, evals, prompt and context engineering. You do not need the answer yet. You do need the drive to get there.

A continuous improvement mindset. You see how the team works as something to be improved, not accepted. Tooling, processes, feedback loops, all of it. You bring concrete proposals, not just complaints. 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 and that is fine with you, same answer.

Pragmatic, driven, honest. You say what you think, including when it is uncomfortable. You take feedback the same way. You take ownership. When something is broken, you do not wait for someone else to pick it up.

Wants to work in a team. You explain technical decisions clearly to PMs, designers, and engineers, and you can disagree in a way that moves the conversation forward. If your default mode is to disappear into headphones for two weeks and resurface with a PR nobody can review, this is not the right place for you.

A team lifter. You are not a manager and we do not expect you to be one. But seniors here lift the team: through code review, mentoring, and being someone other engineers genuinely want to work with.

Bonus, not required. Experience in B2B SaaS or manufacturing / industrial software. Experience with our stack.

What’s In It for You?

On top of a competitive salary, we offer a range of benefits to support your well-being and growth:

Meal vouchers – Enjoy daily meal perks.
Healthcare benefits – Including Alan daily care & hospitalization insurance.
- Flexibility & balance – Flexible hours with in-office collaboration (please note, this is not a remote position!).
Top-notch equipment – The best tools and tech to help you succeed.
A key role in a fast-growing scale-up – Join an ambitious international team with endless learning and growth opportunities.
Ownership & impact – Take on real responsibility and make a difference from day one.
Fun & team spirit – Regular team-building activities and a vibrant company culture.
Unlimited snacks & drinks – Because great work deserves great fuel!
Awesome Azumuta merch – Represent the team in style!

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : ai & data engineer (evergem, vlg)

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