Forward Deployed AI Engineer (m/f/d)

GamblingCareers.com; Wien; On-site; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Career development plan

Career framework opportunities

Diversity and inclusion groups

Global Employee Assistance Programme

Calm and Reulay app for stress and睡眠

Job summary

Sportradar, a sports data and technology company, is seeking a Forward Deployed AI Engineer based in Vienna. You will act as an internal consultant, collaborating with stakeholders to identify real problems, simplify complexity and deliver LLM and agent-based solutions.

You will work with Python, LLM APIs, and data pipelines, contributing to RAG implementations and end-to-end deployments. Team guidance is available from senior engineers as needed.

Qualifications

• 2+ years of software engineering or applied ML experience.
• Clear communication with non-technical colleagues.
• Self-motivation and ability to work independently.
• Hands-on experience with LLM APIs and projects using RAG or agents.

Responsibilities

• Talk with colleagues to understand workflows, pain points and data.
• Identify problems worth solving and break unclear situations into clear steps.
• Build, test and deploy LLM-powered applications and agents from prototype to production.
• Implement retrieval (RAG), tool integrations, prompts and context handling.
• Plan your own work and document solutions.

Skills

Python

LLM APIs

RAG/Agents

SQL

Cloud Platforms

Testing

Version Control

Job description

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 Vienna. 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.

OURRECRUITMENTPROCESS

• 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!

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.