(Senior) AI Engineer
The opportunity
Join an AI-first consultancy and AI-engineering platform that works with leading companies and investors across Europe to turn strategy into real, measurable digital and AI value. You'll be part of its Data & AI team, building the platforms and tooling behind enterprise AI solutions.
The role
As a (Senior) AI Engineer, you'll design, build and optimise the scalable AI platforms, backend services and engineering tooling that power the firm's enterprise AI work. You'll partner closely with Forward Deployed AI Engineers on client implementations and help set the engineering standards for the whole team.
What you'll do
Build AI platforms: Design, build and optimise scalable AI platforms, backend services and engineering tooling for enterprise AI solutions.
Create reusable components: Develop reusable AI frameworks, APIs and platform components that speed up every new implementation.
Run AI in production: Build and maintain deployment pipelines, model serving infrastructure and monitoring for production systems.
Raise the bar: Improve scalability, reliability, security and performance across AI systems.
Partner with FDEs: Work with Forward Deployed AI Engineers to bring client implementations to life.
Stay ahead: Evaluate emerging AI technologies and continuously refine engineering standards.
Mentor: Support other engineers through technical reviews and knowledge sharing.
What you bring
A degree in Computer Science, Artificial Intelligence, Data Science or a related field.
3-6 years of experience in AI engineering or software development, including exposure to generative AI.
Strong programming skills, ideally in Python.
Familiarity with ML and GenAI tooling such as PyTorch, LangChain or vector databases.
Experience with cloud platforms and containerisation (Docker, Kubernetes).
Fluent English.
Nice to have:
Additional local language skills.
What we offer
Real impact: Work in a highly motivated team in direct cooperation with the founders and partners, linking strategy and implementation.
Compensation: Attractive salary package, participation in sales success and exclusive investment opportunities, plus membership in a dedicated top-talent programme.
Growth: Development support from day one, early responsibility and the chance to shape your own career path.
Environment: A diverse, family-friendly and collaborative culture with a flexible hybrid working model.
Benefits: Regular team events and joint sports sessions, company pension scheme, fitness and wellness partnerships, mobility and meal allowances, and more.
Logistics
Location: Munich, hybrid. The firm also has offices in London, Amsterdam, Milan, Paris and Berlin.
Type: Full-time, permanent.