Ready to Train a Mind That’s Not (Yet) Human?
Imagine being called in for a secret mission. A confidential client has entrusted us with something ambitious, strange, and thrilling: building a conversational AI that listens like a human, learns like a scholar, and speaks with purpose. This isn’t a product. It’s a presence. And it’s your chance to help shape it—right at the point where it all begins.
We’re assembling a select team of brilliant minds to work on a newly commissioned, stealth-mode project. The brief? Discreet. The data? One of a kind. The potential? Enormous. We can’t reveal the client’s name (yet), but trust us—when the curtains open, you’ll want to say you were there from the start.
If you’re excited by the unknown, passionate about intelligence (artificial and otherwise), and eager to leave your mark on something world-class and whisper-quiet (for now), then read on.
This isn’t just a job. It’s an origin story.
Role: DevOps / Backend Engineer
The Force Behind the Frontline
They won’t see your work.
They’ll just feel it—fast, smooth, bulletproof.
As our DevOps / Backend Engineer, you ensure that everything we build—every model, every microservice, every pipeline—deploys fast, scales effortlessly, and runs with the stability of a Swiss watch.
You don’t just build APIs.You build confidence. Confidence that the system will hold under pressure, recover with grace, and serve intelligence to the world in milliseconds.
What You’ll Do
– Design and deploy robust, secure, and scalable backend systems for AI inference and data access
– Build APIs and interfaces that serve real-time and batch results from language models
– Implement CI/CD pipelines to deploy ML models and backend components seamlessly
– Optimize inference time, container orchestration, and model hosting costs
– Set up monitoring, logging, and alerting for all production environments
– Work hand-in-hand with ML, frontend, and infrastructure teams to ensure smooth deployments
– Harden systems against failure, downtime, and bottlenecks—before they happen
Who You Are
– Fluent in backend engineering (Python, Node.js, Go or similar)
– Deep experience with containerization (Docker), orchestration (Kubernetes), and cloud infra (GCP, AWS, etc.)
– Proficient in API architecture (REST, GraphQL, WebSockets) and load balancing strategies
– You’ve deployed and scaled machine learning models or compute-intensive applications
– Bonus: Familiarity with ONNX, Triton Inference Server, Hugging Face Inference, or similar
– Bonus: You dream of latency under 100ms and wake up to Grafana dashboards
Our Culture & Core Beliefs
You won’t be working behind the scenes.
You’ll be working beneath the scenes—laying the foundation that allows intelligence to reach the world without friction, failure, or lag.
We believe in:
– Unseen brilliance — when it works perfectly, nobody notices, and that’s the point
– No rank in the debrief — if the system goes down, we all learn
– Blame-free postmortems — we fix root causes, not people
– Dev + Ops as one — ownership doesn’t end at deployment
– Zero fluff, full precision — clear code, clear logs, clear minds
Our Selection Process
We’re building for scale, speed, and reliability—and we need you to prove you can deliver all three:
– Culture and alignment interview
– Systems design challenge (live + async)
– Infrastructure and backend code test
– Final technical deep-dive with the founders
We don’t hire based on buzzwords.
We hire based on proof.
Location & Compensation
– Office-based in Almere, The Netherlands
– Because like the Blue Angels, we believe elite teams operate best in formation
– Compensation: far above average
– If you want Ronaldo in defense, you pay Ronaldo prices
– We hire to win—and we pay to retain champions
If you want to be the reason this AI doesn’t just think—but responds—apply now. The spotlight may not find you… but the success of the mission will depend on you.