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Tech Stack
Tools & technologiesAWSAzureCloudGraphQLMicroservicesPythonPyTorchTerraform
About the role
Key responsibilities & impact- Developing Pathfinder, a multi-agent AI system built on protocol-driven, micro service-oriented architecture – where specialised agents are dynamically orchestrated to assist users in navigating the complexities of data integration, automating routine tasks and proactively solving problems to make them significantly more productive
- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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
ATS Keywords
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Hard Skills & Tools
Machine LearningAIData ScienceData EngineeringGenAILLMsNLPPythonRESTful APIsGraphQL APIs
Soft Skills
communication