AI Solution Engineer (m/f/d)

About

Chrono24 is the world’s leading online marketplace for luxury watches, connecting buyers and sellers from over 80 countries. We’re a fast-growing international tech company headquartered in Karlsruhe, Germany, with a passionate team that puts our customers first every day.

As AI Solution Engineer, you help teams across Chrono24 turn everyday manual work into working AI-powered automations. You sit close to the business, partnering with non-technical departments across the company, from Growth and Marketing to Finance, People & Culture and beyond, to discover where AI can remove effort, and you build the solution together with them.

You are the bridge between a business problem and a working solution. You bring both sides together: business understanding to see what a team really needs, and technical skill to build it. You consult on what's possible, scope it, and build quick, practical automations and proofs-of-concept using existing AI models and tooling.

You build on the tools, integrations and platform that the Tool Enablement team provides, and you partner with the Machine Learning team whenever a solution is ready to scale, move into monitored production, or needs deeper engineering.

What you can expect

• Consult and partner with commercial teams: Sit with non-technical departments to understand their processes, surface high-value automation opportunities, and shape solutions together with them.
• Build practical automations and POCs: Connect existing tools and LLMs into working workflows fast, to prove value before anything scales.
• Know our systems: Understand which internal systems and data a use case needs, judge what has to be made accessible, and articulate the requirement clearly (via APIs and, ideally, MCP).
• Enable teams to help themselves: Hand over working first versions and equip teams to run, adjust, and maintain simple solutions themselves.
• Know when to hand off: Recognize when a use case needs the ML team (scaling, self-hosting, cost or quality optimization, monitored production), Tool Enablement (tools, integrations) or IT (server infrastructure, access and security), and route it cleanly.
• Work in the open: Collaborate closely with the ML team, Tool Enablement and IT, whose use-case knowledge and infrastructure this role builds on.

What sets you apart

• A blend of business and technical understanding: With a minimum of 5 years of relevant professional experience you combine solid business sense with a hands-on technical foundation, for example a information systems or computer sciencebackground or a comparable mix of experience.
• Solid programming fundamentals: You build working MVPs yourself, wiring existing tools, LLMs and integrations into working solutions at a practical, not production-grade, level.
• Applied AI experience: Hands-on with LLMs and prompt engineering in real use cases (Claude, GPT or similar), not just experimenting.
• Integration awareness: A working understanding of APIs, HTTP/JSON and, ideally, MCP, enough to connect tools and judge what data and access a solution needs. You get up to speed fast on the tools and systems our teams use day to day, so you can advise them credibly and spot where AI fits.
• Enabling communicator: you explain options clearly to non-technical stakeholders, translate fluently between business and technical worlds, and shape solutions together with the teams. Strong, direct communication is core to the role.
• Ownership: you spot opportunities, scope them, and bring a first version to life without waiting for tickets.
• Challenges the status quo: You question how work gets done today and look for where AI can meaningfully change the process.
• Language: Very good German and English skills.

Out of scope (so expectations are clear)

• Training or fine-tuning models: this role uses existing models in a deployment setup; it does not build them.
• Building and owning infrastructure, platforms, or self-hosted models: provided by Tool Enablement, IT / ML.
• Long-term, monitored, scaled production systems: handed to the ML team once a use case grows beyond a POC.

What we offer

• A strategically important role with real room to shape and build.
• A dynamic, international company with leading Private Equity involvement.
• A modern work environment with flexible hours and hybrid working options.
• A benefits app with a monthly allowance of €80 for sports, childcare, or flexible mobility.
• Free lunch to keep you energized and bring the team together.
• A permanent employment contract with long-term development opportunities.
• 30 days of annual leave.
• Additional paid time off on December 24 and December 31.
• Option to work up to 20 days per year from abroad.