AI Inference Platform Engineer – Scalable & Reliable

Lyceum

Zürich

On-site

CHF 120,000 - 170,000

Full time

14 days+

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Job summary

Lyceum, based in Zürich, is building an AI inference platform that must be reliable, secure, and scalable as thousands of concurrent users come online. You will own performance, reliability, and infrastructure evolution, focusing on scalability, observability, and secure multi-tenant operation.

If you love building high‑performance systems and can own critical parts from design to production, join us in shaping Europe’s sovereign AI infrastructure.

Qualifications

  • 3+ years of experience in backend, infrastructure, or systems engineering.
  • Strong proficiency in Go and Python.
  • Experience building or operating a model serving platform or ML platform.
  • Solid understanding of systems performance - profiling, benchmarking, and optimising latency and throughput.
  • Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry, or similar).
  • Understanding of security fundamentals - network isolation, authentication, encryption, multi-tenancy.

Responsibilities

  • Architect and implement scalable systems for thousands of concurrent users, including routing, load balancing, autoscaling, and GPU scheduling.
  • Build monitoring, alerting, and incident response tooling to enable graceful degradation and automatic recovery.
  • Profile and optimise the full inference path from ingestion to response delivery to reduce bottlenecks.
  • Evaluate and integrate open-source inference frameworks and tooling to improve throughput and stability of the serving stack.

Skills

Go
Python
Backend
Model serving platform
Systems performance
Observability tooling

Tools

Kubernetes
Prometheus
Grafana
OpenTelemetry
Dynamo
vLLM
Triton

Job description

Lyceum, based in Zürich, is building an AI inference platform that must be reliable, secure, and scalable as thousands of concurrent users come online. You will own performance, reliability, and infrastructure evolution, focusing on scalability, observability, and secure multi-tenant operation.

If you love building high‑performance systems and can own critical parts from design to production, join us in shaping Europe’s sovereign AI infrastructure.

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