Forward Deployed AI Engineer

Works like an internal consultant, embedded in a department or business unit to understand workflows, identify real problems, cut through complexity and simplify how work is done. It focuses on building and shipping LLM and agent-based solutions, working largely independently with little day-to-day supervision while navigating organisational complexity and competing priorities. Senior engineers are available for guidance.

• Talk with colleagues in the 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, keeping 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 such as test sets, automated checks and quality dashboards, and use the results to improve solutions.
• Build and maintain data pipelines that feed these systems.
• Plan own work, give regular updates and document solutions.

• Around 2+ years of software engineering or applied ML experience, or equivalent project experience.
• Clear communication with non-technical colleagues, with the ability 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, including testing, version control and 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 such as AWS, Azure or GCP.
• Ability to learn fast.

• Consulting, internship or stakeholder-facing project experience.

• Office-first, fully on-site model with team members working in the office five days a week.
• Some travel between Sportradar offices may be required.
• Certain exemptions to the on-site model may apply depending on location.

• A collaborative environment with colleagues from all over the world, including engineering offices in Europe, Asia and the US, with 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 within an inspiring and fast-growing company with 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 for managing stress, maintaining focus, improving sleep and building resilience.
• Online training videos.
• Flexible working hours.

Sportradar is a sports data and technology company and the world's leading sports technology company, at the intersection between sports, media, and betting.