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5 дней назад

Senior AI Solution Engineer

75 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Austria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI Solution Engineer (LLM/RAG): Building and operating end-to-end AI applications for Eversports with an accent on stakeholder discovery, production evaluation, and AWS/Bedrock integration. Focus on designing measurable experiments, monitoring real user adoption, and solving application reliability and on-call challenges.

Location: Vienna, Austria; hybrid work with on-site attendance 2–3 times per week.

Salary: Minimum gross annual salary of €75,000 for a full-time 35-hour week, with potential adjustments based on experience.

Company

hirify.global is a sports technology company operating a booking platform for sports facilities and activities as part of the international hirify.global Group.

What you will do

  • Ship AI applications through discovery, design, development, evaluation, deployment, and operation.
  • Partner with functional stakeholders to identify and scope suitable AI applications.
  • Translate business needs into application architecture and build on the existing AI capability stack, including gateway, retrieval, and evaluation.
  • Define and execute technical and product evaluation plans using experiments and production metrics.
  • Monitor adoption, evaluate application performance continuously, and iterate based on real usage data.
  • Support users and leaders through demos, training, adoption activities, and on-call operations.

Requirements

  • 5+ years of engineering experience, including at least 18 months building production LLM or AI application systems.
  • End-to-end ownership of production AI applications across discovery, design, development, evaluation, and operations.
  • Production experience with RAG, prompt engineering, and quantitative LLM application evaluation.
  • Experience with production cloud systems; AWS and Bedrock are strongly preferred.
  • Hands-on coding fluency, strong product judgment, and the ability to work directly with non-technical stakeholders.
  • Experience with on-call responsibilities for production systems and strong written and verbal communication skills.

Nice to have

  • Experience with SaaS, marketplaces, or two-sided consumer platforms.
  • Experience with AWS, Snowflake, dbt, or LLM evaluation tooling.
  • Knowledge of GDPR and EU AI Act implications for user-facing AI.

Culture & Benefits

  • 35-hour full-time workweek with every second Friday off.
  • Monthly sports budget, regular sports sessions, team activities, and events.
  • Quarterly Day to Explore for personal learning and inspiration.
  • MacBook and modern work equipment.
  • International and diverse environment with employees from more than 25 countries.

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