5 дней назад
Senior AI Solution Engineer
75 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
is a sports technology company operating a booking platform for sports facilities and activities as part of the international 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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