Senior AI Solution Engineer
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Role details
Tech stack
Job description
- 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 teamâs 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 youâve 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.
Requirements
- 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 âwhat should this do for the userâ and âhow do I build it.â
- 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
Benefits & conditions
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 âDay to Exploreâ
- 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!
About the company
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: âMake Sports Happen.â For more insight into our history, incredible team and products, check out our âAbout Usâ page on our website!, 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.
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