21 день назад
Senior AI Solution Engineer (AI)
75 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Solution Engineer (AI): Building and operating end-to-end AI applications for an international sports booking platform with an accent on stakeholder discovery, production LLM systems, and measurable evaluation. Focus on designing RAG and prompt-engineering solutions, iterating from real usage data, and supporting reliable deployment and on-call operation.
Location: Vienna, Austria; hybrid work with on-site attendance 2–3 times per week
Salary: Minimum annual gross salary of €75,000 for a full-time 35-hour week
Company
is part of the Group, an international sports technology company operating digital booking platforms for sports activities.
What you will do
- Ship AI applications end to end, from discovery and design through development, evaluation, deployment, and operation.
- Partner with functional stakeholders to identify and scope suitable AI applications.
- Translate stakeholder needs into application architecture using the AI capability stack, including gateway, retrieval, and evaluation.
- Define and execute technical and product evaluation plans, including experiments and production metrics.
- Monitor adoption and real-world usage, iterate on applications, and provide on-call support.
- Represent the AI team through demos, training, and adoption support for functional users and leaders.
Requirements
- 5+ years of engineering experience, including at least 18 months building production LLM or AI application systems.
- Demonstrated end-to-end ownership of production AI applications.
- Production experience with RAG, prompt engineering, and LLM application evaluation.
- Experience with quantitative evaluation, experiments, and iteration based on production metrics and user behavior.
- Solid production cloud experience, hands-on coding fluency, and on-call experience; AWS with Bedrock is strongly preferred.
- Strong product thinking and written and verbal communication skills, including direct work with non-technical stakeholders.
Nice to have
- Experience with SaaS, marketplaces, or two-sided consumer platforms.
- Experience with AWS, Snowflake, and dbt.
- Familiarity with LLM application 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 and regular sports sessions, team activities, and events.
- Quarterly Day to Explore for personal development and inspiration.
- Modern equipment, including a MacBook for every employee.
- International and diverse environment with employees from more than 25 countries.
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