Where Europe's enterprises adopt AILangdock is the AI platform used by more than 10,000 companies to give employees secure access to the leading AI models, to build and share agents and to automate repetitive workflows.
We have grown past $40M ARR while remaining a small team, and we care deeply.
As people and agents create more documents, analyses, decisions, and automations inside AI interfaces, the context and data behind that work accumulate within Langdock.
This gives us the opportunity to earn a larger role in their technology stack by building a platform they choose to rely on.
Our ambition is to build that platform for European enterprises while preserving their control over data, model providers, and deployment environments.
We have made meaningful progress at the application layer, but much of the foundation beneath it still needs to be built.
You can watch the Meet the engineering team video to get a feeling for how we work.
The roleSystems Engineers solve our most complex technical problems inside and across Langdock's shared services when existing building blocks or standard architectures are insufficient.
These are problems where correctness under failure, performance, scale, security, and cost interact.
This is a project-oriented role rather than ownership of one permanent layer.
You might spend a period on distributed execution, then move into storage architecture, workload isolation, or model serving as company priorities change.
The constant is sustained investigation of unfamiliar systems and responsibility for turning that understanding into a production system.
Systems Engineers own the difficult mechanism and the measurable improvement it creates, whether in correctness, capability, performance, reliability, or cost.
They operate what they build, while the Platform owner remains accountable for the.