Staff AI Engineer (m/f/d)

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

Staff AI Engineer – Generative AI Team (5-7 Years Experience) Transforming Data into Impactful AI Solutions

ABOUT US:

We’re seeking a talented Staff AI Engineer with 5-7 years of experience to join our generative AI team, the core unit driving our flagship AI initiatives, including our primary product focused on transforming live sports data into engaging narratives like automated match reports, previews, and articles, as well as other innovative AI-driven products. This role blends advanced full-stack software engineering with cutting‑edge applied AI research, emphasizing traditional machine learning, NLP, LLM fine‑tuning, and modern AI workflows to shape products that reach global audiences.

THE CHALLENGE:

• Build Full-Stack AI Applications : Lead the design and development of scalable, user‑facing tools and automated pipelines for diverse AI‑driven products, ensuring seamless integration from data ingestion to output delivery.
• Integrate and Extend AI Frameworks : Architect and implement sophisticated agentic workflows using frameworks like LangGraph, LangChain, Google Agent Developer Kit (ADK), and custom solutions to process complex datasets and deliver intelligent applications.
• AI Prompting & LLM Fine‑Tuning : Develop, test, and optimize prompt strategies and fine‑tune large language models (LLMs) for data‑to‑text generation and other use cases, ensuring high accuracy, coherence, and domain relevance.
• Model Evaluation & Iteration : Design and execute rigorous evaluation pipelines for LLMs and traditional ML models, incorporating rule‑based metrics, human‑in‑the‑loop feedback, and performance benchmarking to drive continuous improvement.
• Apply Traditional ML Expertise : Leverage expertise in NLP, model fine‑tuning, and traditional machine learning techniques (e.g., classification, clustering, embeddings) to enhance AI‑driven solutions.
• Collaborate Cross‑Functionally : Partner with product managers, data scientists, and domain experts to align AI capabilities with product goals, providing technical leadership and mentorship.
• Deploy and Scale : Deliver production‑ready services on cloud platforms like AWS, with a focus on robust monitoring, testing, and performance optimization using modern CI/CD workflows.

Technologies We Use

Note: Preferred but not required; you can learn on the job.

• AI Frameworks : LangGraph, LangChain, Google Agent Developer Kit (ADK), TensorFlow, PyTorch

ABOUT YOU:

• Traditional ML and NLP Proficiency : Hands‑on experience with traditional machine learning techniques, particularly in NLP (e.g., text classification, sentiment analysis, embeddings), model fine‑tuning, and feature engineering.
• Modern AI Workflow Mastery : Deep understanding of LLM fine‑tuning, agentic workflows, and prompt engineering, with the ability to design and optimize complex AI pipelines.
• Technical Leadership : Ability to lead projects, mentor junior engineers, and drive technical decisions with a focus on scalability, reliability, and innovation.
• Self‑Driven Ownership : A proactive, self‑motivated mindset with the ability to take initiative, explore innovative ideas, and drive projects forward independently in a fast‑paced environment.
• Comfort with Ambiguity : Thrive in dynamic settings, identifying priorities and delivering solutions with creativity, technical rigor, and strategic insight.
• Adaptability and Curiosity : Eager to rapidly learn and apply emerging AI frameworks, tools, and methodologies to solve complex problems across domains.
• Production‑Ready Mindset : Focus on building robust, scalable systems with a practical approach to problem‑solving and a commitment to quality.
• Strong Collaboration : Exceptional ability to align with cross‑functional teams, provide technical guidance, and communicate progress effectively.
• Bonus Experience : Familiarity with real‑time data pipelines, media automation, or domain‑specific AI applications (e.g., sports, finance, or content generation) is a plus but not required.

If you’re excited to leverage your full‑stack expertise, traditional ML knowledge, and modern AI workflow skills to build transformative products across domains, we’d love to hear from you! Apply now to join our core AI team as a Staff AI Engineer and help shape the future of intelligent applications.

OUR OFFER:

Acollaborative environment with colleagues from all over the world (Engineering offices in Europe,AsiaandUS)including varioussocial events andteambuilding .

Flexibility to manage your workday and tasks withautonomy .

A balance ofstructure andautonomy to tackle your daily tasks.

Vibrant andinclusivecommunity , includingWomen in Tech andPride groups which welcome all participants.

GlobalEmployeeAssistanceProgramme.

Calm andReulay app (leading well‑being apps designed to support focus, quality rest, mindfulness, and long‑term mental resilience).

While we appreciate the flexibilityand 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 officetrengthenthe foundation of our success and culture. For this reason, we are an office‑first businessoperatingon a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together.

Location