> Markdown version of [/jobs/ext/3979082-forward-deployed-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3979082-forward-deployed-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed AI Engineer - **Company:** Sportradar GmbH - **Location:** Leipzig, Germany (Remote available) - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Software Version Control, Data Pipelines, Workday - **Published:** October 28, 2026 - **Apply:** https://www.adzuna.de/details/5943800368 ## About the Role * 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. ## Description * 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., * 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!