Staff AI Engineer (mfd)

Sportradar; Leipzig; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading sports technology company in Leipzig is seeking a Staff AI Engineer to join their generative AI team. This role involves developing scalable AI-driven solutions and requires a strong background in full-stack development and traditional machine learning. Candidates should possess 5-7 years of experience and have expertise in JavaScript, React, Python, and various AI frameworks. The company offers a collaborative work environment with flexible hours and a commitment to inclusivity, making it an ideal place for innovative minds.

Leistungen

Flexible working hours

Global Employee Assistance Programme

Vibrant and inclusive community

Online training videos

Qualifikationen

• 5-7 years of experience in Full-Stack Development.
• Hands-on experience with traditional ML techniques in NLP.
• Deep understanding of LLM fine-tuning and prompt engineering.

Aufgaben

• Lead the design of scalable user-facing tools for AI applications.
• Develop and optimize LLM prompting strategies.
• Collaborate with product managers and data scientists.

Kenntnisse

Full-Stack Development

NLP Proficiency

AI Workflow Mastery

Technical Leadership

Adaptability

Tools

JavaScript

React

Python

TensorFlow

AWS

Jobbeschreibung

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.

• Full‑Stack Development: JavaScript, React, Python
• AI Frameworks: LangGraph, LangChain, Google Agent Developer Kit (ADK), TensorFlow, PyTorch
• Prompting & Evaluation: LLM prompting strategies, fine‑tuning pipelines, evaluation frameworks
• Traditional ML & NLP: Scikit‑learn, spaCy, Hugging Face Transformers, model fine‑tuning, embeddings
• Cloud & DevOps: AWS, modern CI/CD workflows
• Domain: Data‑to‑text generation, real‑time data APIs, automated content systems

ABOUT YOU

• Advanced Full‑Stack Expertise: 5‑7 years of experience as a Full‑Stack Developer with a strong command of JavaScript, React and Python coupled with a proven track record of building scalable production‑ready applications.
• 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

A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and team building.

Flexibility to manage your workday and tasks with autonomy.

A balance of structure and autonomy to tackle your daily tasks.

Vibrant and inclusive community including Women in Tech and Pride groups which welcome all participants.

Global Employee Assistance Programme.

Calm and Reulay app (leading well‑being apps designed to support focus, quality, rest, mindfulness and long‑term mental 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 strengthens the foundation of our success and culture. For this reason we are an office‑first business operating on a hybrid model with team members working in the office three days a week to build relationships, exchange ideas and grow together.

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. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria); we believe skills evolve over time. If you’re willing to learn and grow with us we invite you to join our team!

Remote Work: No

Employment Type: Full-time