Job Description
Principal Engineer – Complex Systems Architecture | AI Intelligence Platform
Remote | Europe preferred | Immediate Start
My client is looking for an
exceptional hands-on Principal Engineer
to architect and build complex distributed systems for a next-generation
AI Intelligence Platform
.
This is a
builder role
, not a traditional architecture position. You will own a critical technical workstream end-to-end — from architecture and implementation through to deployment and production — working closely with a highly technical founding team.
What we're looking for
- 7+ years of engineering experience
building complex, production-scale distributed systems.
- Expert
Python
engineering skills, including Pydantic, asyncio and strong typing.
- Proven experience designing and building
data-intensive, event-driven systems
.
- Strong Kubernetes, Docker, Helm and CI/CD experience.
- Experience with fault-tolerant architectures, data pipelines, schema evolution and observability.
- Strong architectural judgement and the ability to operate independently in ambiguous environments.
- A genuine
builder mindset
- you should be able to explain exactly what you personally designed, built and operated.
Strong advantage
Experience with
Dagster/Ray, knowledge graphs, vector databases, on-premise/air-gapped LLM infrastructure, sovereign AI, intelligence/OSINT platforms or other mission-critical systems
.
The ideal candidate
Someone who has
built difficult technology in production
, rather than simply implemented existing solutions. Backgrounds in deep-tech, AI infrastructure, distributed systems, intelligence, autonomous systems or leading AI/technology companies are particularly relevant.
The technical bar is exceptionally high.
We are prioritising genuine engineers, researchers and technical builders over consultants or architects who no longer code.
* Only successful candidates will be contacted *