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Eversports

Sports providers' SaaS and bookings marketplace

Principal AI Engineer

Full-TimeUpdated
€80k/yr
Expert
Vienna, Austria
HybridHybrid, with on-site work 2–3 times per week.
Software EngineeringAI Application Engineering

About the job

Requirements
  • 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, and 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.
  • Architectural authorship, ADRs or equivalent that have survived scrutiny.
  • Solid production cloud experience is required.
  • On-call experience for production AI or data systems.
  • Strong written communication, comfortable producing ADRs and technical reviews.
  • Current, hands-on coding fluency.
  • Fluent written and verbal communication skills in English.
Responsibilities
  • 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.
Desired Qualifications
  • AWS with Bedrock is strongly preferred, as the group standardises on AWS, Snowflake, and dbt.
  • Experience as the senior technical counterpart to a peer Data or Platform team.
  • Hands-on experience with AWS, Snowflake, and dbt, or comparable infrastructure.
  • Familiarity with the commercial state of the art in enterprise retrieval (Glean, Notion AI Enterprise, vector database platforms, evaluation tooling).

About the company

Eversports runs a two-sided platform: a SaaS for providers called Eversports Manager to manage schedules, clients, invoicing, payments, and other admin tasks with widgets and analytics for classes and private sessions. It also operates a B2C marketplace app and website where consumers discover, book, and pay for sports and wellness activities, earning commissions on new bookings. The company offers a corporate wellness program that gives employees a flexible sports budget. It has grown through acquisitions and funding, including Verdane taking a majority stake in 2024 and a 2026 merger with MATCHi, with a goal to expand across Europe and become a large platform for sports and wellness.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Vienna, Austria

Founded

2013

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Benefits

  • Parental Leave
  • Flexible Work Hours
  • Remote Work Options
  • Paid Vacation
  • Professional Development Budget