Engineering manager leads the AV Analytics squad within Sportradar's Audiovisual unit, which builds streaming analytics and BI data systems for live sports…
Forward Deployed AI Engineer (m/f/d)

This role places an AI engineer inside a Sportradar department or business unit to find workflow problems and simplify how work is done. The engineer builds and deploys LLM and agent-based solutions from prototype to production. It suits an independent engineer with about two years of experience who can talk to non-technical colleagues.
Listed by DashTickets · checked
At a glance
What you will do
- Talk with colleagues to understand workflows, pain points and data.
- Identify problems worth solving and simplify processes, advising where AI fits.
- Build, test and deploy LLM-powered applications and agents, from prototype to production.
- Implement RAG, tool integrations, prompts and context handling.
- Build evaluations and data pipelines, and document solutions.
What you need
- Around 2+ years of software engineering or applied ML experience, or equivalent projects.
- Solid Python and software engineering fundamentals: testing, version control, APIs.
- Hands-on experience with LLM APIs and a RAG or agent project, including evaluation.
- Familiarity with SQL or data pipelines and a cloud platform (AWS, Azure or GCP).
- Clear communication with non-technical colleagues and ability to work independently.
Skills
About Sportradar
- Employer
- Sportradar
- Open roles
- Open roles at Sportradar (8)
Job description as published by Sportradar
Job Description
ABOUT US
Sportradar is a sports data and technology company. As Forward Deployed AI Engineer, you work like an internal consultant: you are placed in a department or business unit, talk with the people there, find the real problems, cut through complexity, simplify how work is done, and then build and ship LLM and agent-based solutions. You work largely independently with little day-to-day supervision, find your way through organisational complexity and competing priorities to get things done, and learn fast. Senior engineers are available for guidance.
THE CHALLENGE
- Talk with colleagues in your department to understand workflows, pain points and data.
- Identify problems worth solving and break unclear or cluttered situations into clear, manageable steps.
- Streamline and simplify processes, and propose where an AI solution makes sense and where it does not.
- Work with several stakeholders and competing priorities, and keep your work moving pragmatically.
- Build, test and deploy LLM-powered applications and agents, from prototype to production.
- Implement retrieval (RAG), tool integrations, prompts and context handling.
- Build and run evaluations (test sets, automated checks, quality dashboards) and use the results to improve solutions.
- Build and maintain data pipelines that feed these systems.
- Plan your own work, give regular updates and document solutions.
ABOUT YOU
- Around 2+ years of software engineering or applied ML experience, or equivalent project experience.
- Clear communication with non-technical colleagues; able to explain technical topics simply.
- Self-motivation and the ability to work independently with little supervision.
- Pragmatic approach to organisational complexity and competing priorities.
- Structured approach to finding problems and simplifying complexity.
- Solid Python and software engineering fundamentals (testing, version control, APIs).
- Hands-on experience with LLM APIs and a project using RAG or agents, including some evaluation.
- Familiarity with SQL or data pipelines and with a cloud platform (AWS, Azure or GCP).
Nice to have
- Consulting, internship or stakeholder-facing project experience.
Working model
Based in Leipzig. Some travel between Sportradar offices may be required.
OUR OFFER:
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US) including various social events and teambuilding.
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities.
- Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- Global Employee Assistance Programme.
- Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience).
- Online training videos.
- Flexible working hours.
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location — your local point of contact can provide further details.
OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Technical Assessment: A short (home) task to showcase your technical skills.
- Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution, and also discuss team fit.
- Final Step: Receive feedback and, if successful, an offer!
Source: jobs.smartrecruiters.com · saved
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