Forward Deployed AI Engineer (m/f/d)

Description

The company is a sports data and technology business serving sports federations, media outlets, betting operators and consumer platforms in 120 countries, with more than 1,700 of them as clients.

You are placed inside a department or business unit and work as an internal consultant: you talk with the people there, pin down the real problems, simplify how work gets done, and then build and ship LLM and agent-based solutions.

You work largely on your own with little day-to-day supervision, moving work forward through organisational complexity and competing priorities. You learn quickly, and senior engineers are available for guidance.

The role is based in Leipzig, with some travel between company offices possibly required. Engineering offices are in Europe, Asia and the US.

Responsibilities

• Talk with colleagues in your department to learn their workflows, pain points and data.
• Find problems worth solving and split unclear situations into clear, manageable steps.
• Simplify processes, and recommend where an AI solution fits and where it does not.
• Keep work moving pragmatically across several stakeholders and competing priorities.
• Build, test and deploy LLM-powered applications and agents, taking them 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 the data pipelines that feed these systems.
• Plan your own work, give regular updates, and document your solutions.

Requirements

• Around 2+ years of software engineering or applied ML experience, or equivalent project experience.
• Solid Python and software engineering fundamentals, including testing, version control and APIs.
• Hands-on experience with LLM APIs and with a project using RAG or agents, including some evaluation work.
• Familiarity with SQL or data pipelines and with a cloud platform (AWS, Azure or GCP).
• Consulting, internship or stakeholder-facing project experience.
• Clear communication with non-technical colleagues, explaining technical topics simply.
• Self-motivation and the ability to work independently with little supervision.
• A pragmatic approach to organisational complexity and competing priorities.
• A structured way of finding problems and simplifying complexity.

Conditions

Based in Leipzig. Some travel between company offices may be required.

Office-first role on a fully on-site model, with team members in the office five days a week. Exemptions may apply depending on location; your local contact can confirm details.

Flexible working hours.

The hiring process has four steps: a screening chat with a Talent Acquisition Partner, a short take-home technical task, two technical interviews (the first with the technical team, the second with the hiring manager), and then feedback and an offer if successful.

Benefits

• A collaborative setting with colleagues across the world, plus social events and team-building activities.
• A clearly defined professional and personal development plan that lets you shape your workday and career.
• Career framework options within a fast-growing company.
• An inclusive community, including Women in Tech and Pride groups open to everyone.
• A global Employee Assistance Programme.
• Calm and Reulay app access for managing stress, focus, sleep and resilience.
• Online training videos.