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Ship AI applications end to end: discovery, design, build, evaluation, deployment, and operation. - Partner with functional stakeholders to identify and scope candidate applications. - Translate stakeholder needs into application architecture, with senior support where deeper infrastructure expertise is needed. - Build against the AI team s capability stack (gateway, retrieval, evaluation) rather than reinventing it. - Define and execute the evaluation plan, both technical and product, for each application you ship. - Stay close to what you ve shipped: monitor adoption, evaluate continuously, and iterate based on real usage data. - Carry on-call responsibility for the applications you operate. - Represent the AI team in routine engagements with functional users and leaders, including demos, training, and adoption support.
5+ years of engineering experience, including at least 18 months building production LLM/AI application systems. - A track record of end-to-end ownership of AI applications in production: discovery, design, build, evaluation, and operation, not just one stage of the pipeline. - Experience running measurable, quantitative evaluation of AI in production: defined evaluation criteria, experiments (A/B or equivalent), and iteration driven by production metrics and real user behaviour. - Production experience with RAG, prompt engineering, and LLM application evaluation. - Strong product sensibility at the application level, comfortable moving between what should this do for the user and how do I build it. - A track record of working directly with non-technical stakeholders on technology adoption. - Solid production cloud experience is required. AWS with Bedrock is strongly preferred, as the group runs on AWS/Bedrock. - Hands-on coding fluency. - Strong written and verbal communication skills. - On-call experience for production systems.
Experience in SaaS, marketplaces, or two-sided consumer platforms. - Experience with AWS, Snowflake, and dbt. - Familiarity with evaluation tooling for LLM applications. - Knowledge of GDPR and EU AI Act implications for user-facing AI What s in it for you? At Eversports, transparency is key. We are pleased to offer a minimum annual gross salary of EUR 75,000 for a full-time 35-hour week, with potential adjustments based on position and experience level. - Work smarter, not longer: our full-time week is 35 hours, and one day off every second week - Work in the office located in the heart of one of most liveable cities, that waits for you to bring out the best of it - Stay active with a monthly sports budget, try a new class, play your favourite sport, or simply move the way you love - Take time to explore what inspires you during our quarterly Day to Explore - Work with modern equipment, every team member gets a MacBook to perform at their best - Join our regular sports sessions, team activities, and events, we work hard, but we also play - Be part of a passionate, international, and sporty team that believes work should feel meaningful and fun!
At Eversports we acknowledge and value the strength in diversity which is why we have +200 employees from over 25 different countries. Alongside our strong value for diversity is our emphasis on respect towards others. Every employee has a voice and the opportunity to contribute towards developing our company.
We look forward to receiving your application regardless of your gender, ethnicity, age, disability and sexual orientation.
Our hearts are burning for sport in all its facets and for the many opportunities that the digital world brings with it. MATCHi, the leading racket sports booking platform in the Nordics joined forces with Eversports, and together we now form the Eversports Group, an international, dynamic team that shares one big mission: Make Sports Happen. For more insight into our history, incredible team and products, check out our About Us page on our website!
Overview Join Eversports as our new Senior AI Solution Engineer! This is the role that turns what our stakeholders actually need into working AI applications, end to end: partnering with functional teams to scope the problem, designing and building against our AI capability stack, and holding your own work to a real evaluation bar rather than shipping on the model returned output. You ll be one of the most visible members of the AI team to non-technical colleagues, and the success of our first applications will rest substantially on how well you run this loop.
Work time: Full-time (35h/week, every second Friday off!) Planned start: Immediately Location: VIENNA, Austria Working style: Hybrid (2-3 times per week on-site)
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