Senior AI Solutions Engineer (f/m/x)

Eversports

Wien

Hybrid

EUR 68.000 - 83.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Sports budget
MacBook provided
Hybrid work
Office in Vienna

Zusammenfassung

Eversports is hiring a Senior AI Solution Engineer in Vienna to turn stakeholder needs into production-ready AI applications end to end. You will collaborate with cross-functional teams, design against our AI capability stack, and uphold rigorous evaluation standards to ensure real user impact.

The role emphasizes on-call ownership, cloud proficiency (AWS/Bedrock), and hands-on coding in a hybrid 2-3 onsite per week environment.

Qualifikationen

  • 5+ years engineering experience, incl. 18+ months building production LLM/AI apps.
  • End-to-end ownership of AI applications in production: discovery, design, build, evaluation, operation.

Aufgaben

  • Ship AI applications end to end: discovery, design, build, evaluation, deployment, operation.
  • Partner with stakeholders to identify and scope candidate applications.
  • Translate needs into architecture with senior support where required.
  • Build against the AI capability stack (gateway, retrieval, evaluation).
  • Define and execute both technical and product evaluation plans for each app shipped.
  • Monitor adoption and iterate based on real usage data.
  • Carry on-call responsibility for deployed apps.

Kenntnisse

LLM/AI dev
Production deployment
RAG
Prompt engineering
On-call experience
Cloud experience
Coding fluency
Stakeholder comms

Tools

AWS
Bedrock
Snowflake
dbt

Jobbeschreibung

Our hearts are burning for sport in all its facets and for the many opportunities that the digital world brings with it. 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)

Your Tasks
  • 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.
Your Profile
  • 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.
Nice to have:
  • 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.

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