← Alle Jobs
Eversports GmbH

Principal AI Engineer (f/m/x)

Bei uns gelistet als »Principal AI Engineer«

Hybrid · 3+ Tage BüroWienVollzeitEnglishAnstellung (österr. Unternehmen)

Jahresbrutto · Vollzeit

ab € 80.000

Nur KV-Minimum — vermutlich höher

Das Inserat nennt nur das gesetzliche Mindestgehalt. Das tatsächliche Gehalt liegt in Österreich meist darüber. Jahresbrutto lt. Inserat · KV-Minimum bzw. Mindestangabe

Über die Stelle

Your Tasks

  • Own architectural decisions in the categories the AI Lead defers on.
  • Lead the design and build of permission enforcement at retrieval time.
  • Design and operate the model gateway as platform-grade infrastructure.
  • Establish evaluation methodology, benchmarks, and the "ready to ship" bar for AI applications.
  • Mentor the other senior engineers and run technical reviews.
  • Partner with the Data team's senior engineers on the semantic layer interface.
  • Engage with Security, Legal, Compliance, and Platform Engineering as the AI team's senior technical voice.
  • Contribute to hiring of subsequent engineers.
  • Operate AI team-built components and carry on-call responsibility.

Your Profile

  • 10+ years of engineering experience, with deep hands-on experience delivering production LLM/AI application systems (multiple systems shipped and operated), or a strong retrieval, evaluation, model-infrastructure, search, or data-platform background with a demonstrated transition to production LLM delivery.
  • Demonstrated depth in at least two of the following: permission-aware retrieval over enterprise data, evaluation methodology for LLM applications, model infrastructure or gateways at production scale, agent or workflow infrastructure, knowledge-graph construction.
  • Production RAG experience: tuned, evaluated, and operated under real load, not just an out-of-the-box setup.
  • Experience building auth-aware or permission-aware data systems of meaningful complexity …

Gekürzter Auszug aus dem Original-Inserat. Zur Originalanzeige →

Evaluation MethodologyInfrastructureLLMRAGRetrieval