AI Solution Engineer (m/f/d)

Chrono24; Karlsruhe; Hybrid; EUR 85.000 - 125.000; Vollzeit

Benefits dieser Stelle

Hybrid work options

Lunch provided

30 days annual leave

20 days allowed abroad

Sports allowance

Zusammenfassung

Chrono24 is the world’s leading online marketplace for luxury watches, based in Karlsruhe, Germany. We are seeking an AI Solution Engineer to convert business problems into real, working automations that save time and effort.

You’ll partner with non-technical teams from Growth, Marketing, Finance and People & Culture to identify high-value opportunities, build MVPs and POCs using existing AI models, and coordinate with ML, Tool Enablement and IT to scale them.

Qualifikationen

• Min 5 years of relevant professional experience.
• Experience turning business problems into automated AI solutions.
• Hands-on with LLMs and prompt engineering in real use cases.

Aufgaben

• Consult with commercial teams to identify automation opportunities.
• Build MVP automations and POCs using existing tools and LLMs.
• Map data and API requirements to unlock the use cases.
• Collaborate with ML, Tool Enablement and IT to scale solutions.
• Transfer knowledge and enable teams to maintain simple solutions.

Kenntnisse

Business & technical understanding

Programming fundamentals

Applied AI / LLM experience

API integration

Stakeholder communication

Ownership mindset

German & English proficiency

Ausbildung

Information systems or computer science background

Tools

APIs

HTTP/JSON

MCP

Jobbeschreibung

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 science background 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.

About Us

We stand for a dynamic company culture with flat hierarchies and strong team spirit. We are growing fast - and love pushing beyond our limits. By actively shaping our future, we create an inspiring and attractive work environment.