Solutions Engineer

DeepRec.ai; Hamburg; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

DeepRec.ai is seeking an AI Solutions Engineer to drive transformation in the fitness industry. This role involves ensuring effective information flow, designing structures for clean data, and shipping automations quickly. Candidates should have around five years of experience in data, integrations, or machine learning, strong skills in Python and SQL, and expertise with the Claude ecosystem. This position offers the opportunity to work in a small, impactful team in Hamburg or remotely across DACH and the EU.

Qualifikationen

• Around five years of experience in data, integrations or machine learning engineering.
• Hands-on experience with the Claude ecosystem, including agent frameworks.
• A track record of shipping internal tools or workflows quickly.

Aufgaben

• Design the structure and standards that make data clean, connected and usable.
• Ensure knowledge is accessible for both humans and AI systems.
• Architect and build in-house capabilities to reduce reliance on external SaaS.

Kenntnisse

Data integration and machine learning engineering

Python

SQL

Experience with Claude ecosystem

Strong communication skills

Ability to work independently

Jobbeschreibung

I am working for a company operating at the intersection of technology, payments and the fitness industry.

They power the systems behind gyms and fitness operators across Europe, and are now investing heavily in AI to reshape how that entire ecosystem runs.

This is not about adding AI on top. It is about rebuilding the operating backbone of a business that sits inside a real, physical industry, where efficiency, member experience and commercial performance all matter.

They are hiring an AI Solutions Engineer, based in Hamburg or remote across DACH and the EU, to help drive that transformation.

This is a small, high impact team with real budget and direct access to leadership. The expectation is simple, find meaningful problems, build solutions quickly, and make sure they are actually used.

What you would own

• How information flows across the company
• Design the structure and standards that make data clean, connected and usable
• Partner with domain owners across People, Sales, Customer Success, Finance and Legal
• Ensure knowledge is accessible for both humans and AI systems
• The internal AI tooling layer
• Architect and build in house capabilities that reduce reliance on external SaaS
• Create systems the business owns, understands and can evolve quickly
• Focus on practical impact, not experimentation for its own sake
• Agentic workflows across teams
• Work directly with stakeholders to identify high value use cases
• Ship automations in short cycles with real users
• Enable teams to extend and maintain what you build so impact compounds

What they are looking for

• Around five years of experience in data, integrations or machine learning engineering
• Hands on experience with the Claude ecosystem, including agent frameworks and tool use
• A track record of shipping internal tools or agentic workflows quickly
• Strong Python and SQL, plus experience integrating modern SaaS platforms
• Ability to write clear solution specs and explain trade offs to non technical stakeholders
• Confidence to challenge requests when automation is not the right answer
• A self starter mindset, comfortable creating clarity without a perfect brief
• Hamburg or remote across DACH and the EU
• Small team with real ownership and accountability
• A business with deep roots in the fitness space, where what you build has real world impact on operators and members

You must have the legal right to work in Germany.