Developing Pathfinder, a multi-agent AI system built on protocol-driven, micro service-oriented architecture
Defining and implementing scalable microservices that drive data mapping, transformation, and intelligent integration
Developing and maintaining RESTful and/or GraphQL APIs to ensure seamless communication between services and systems
Creating and optimising event-driven data pipelines to enable real-time processing, automation, and decision-making across our products
Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively
Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability.

5+ years of engineering experience focused on Machine Learning, AI, and Data Science/Data Engineering
Hands-on production GenAI experience with LLMs, NLP, and agentic AI – including multi-agent orchestration, tool integration via MCP, and inter-agent communication patterns such as A2A
Hands-on production ML/AI experience with PyTorch and MLOps frameworks
Strong skills in Python development, including building microservices and working with event-driven architectures
Proficiency in designing and consuming RESTful or GraphQL APIs
Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development
Experience with CI/CD (GitHub Enterprise) and Infrastructure-as-Code (Terraform, Pulumi)
Strong communication skills in English.

Opportunity to work flexibly from home
Modern offices in Germany and the Netherlands
A personal Learning & Development budget
Up to 30 days of remote work per year from any EU country
Company Pension plan
30 vacation days a year
2 additional paid days off on Christmas Eve and New Year's Eve
Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat)
Company-sponsored business travel

Senior Machine Learning Engineer

Key skills