Senior Python Engineer (AI/ML)

Senior Python Engineer (AI/ML) | Up to 90k EUR (in NL this includes Holiday Allowance) | Onsite, Hybrid, or Remote

Client:

This software provider delivers an all-in-one integration platform designed to seamlessly connect disparate IT systems, applications, and business processes. By offering robust Electronic Data Interchange (EDI), Enterprise Application Integration (EAI), and internet-of-things (IoT) bridging capabilities, the platform simplifies complex data mapping and automated workflows.

Position Overview:

This vacancy welcomes specialists based in Germany and the Netherlands . Whether you prefer working on-site at our offices in Tutzing or Amsterdam , or remotely from anywhere within these countries, we are happy to accommodate your working style.

As we continue to expand and evolve our Supply-Chain-focused Data Integration Platform, we're looking for a Senior Machine Learning Engineer (m/f/x) with a strong affinity for AI/ML to join our Product & Engineering team.

We launched Pathfinder, which brings AI into the world of EDI and Data Integration – it’s already live in production and proven stable. What we need now is a skilled software engineer to expand its scope with clean, production-grade code. In this role, you’ll build additional AI agents within this established framework, taking them from blueprint to production. These agents leverage both LLMs and hybrid AI/ML systems.

Our mission is to connect people, data and intelligence (human & artificial) to optimize processes across the supply chain, always choosing the right tool for the right challenge. Ready to make an impact?

You’ll get to take ownership of:

• Developing Pathfinder, a multi-agent AI system built on protocol-driven, microservice-oriented architecture – where specialized 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 APIs to ensure seamless communication between services and systems.
• Creating and optimizing 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.

We’d love to meet someone with:

• 5+ years of professional software engineering with Python as your primary language, and a track record of building and running production-grade software – including being the person who fixed it when it broke.
• Python craft: strictly typed, well-structured code that goes well beyond scripting or notebooks. You model your data at every boundary – Pydantic, attrs or similar – and you're comfortable working within an established framework.
• A production mindset: you think about maintainability, testing, telemetry, and debugging, and you’re comfortable handling production issues and contributing to root cause analysis (RCA).
• Deep, practical async Python: you have built services on asyncio and you know what it buys you and what it doesn't – async generators, cancellation, and why a single blocking call inside a coroutine stalls everything around it. Micro-services and event-driven architectures on top of that.
• A feel for what goes wrong across a network boundary: timeouts, bounded retries with backoff, idempotency. You read an outbound call with no deadline on it as a defect rather than a detail.
• Proficiency in designing and consuming RESTful APIs.
• An affinity for AI/ML: curiosity about or hands-on experience with LLMs and agentic systems is a strong plus, though neither is required – we care more that you engineer well than that you already know this stack. Deep ML specialism is not needed.
• Strong communication skills in English.

Nice to have:

• Supply chain or logistics domain knowledge – the cherry on top, not a requirement.
• Willingness to dig into the Java codebase of our core product to understand what functionality is already available, even before it’s exposed via an API.
• Experience with CI/CD (GitHub Enterprise) and Infrastructure-as-Code (Terraform, Pulumi).
• Familiarity with cloud AI services (e.g., SageMaker, Bedrock, Azure ML).

You can look forward to:

• Opportunity to work flexibly from home
• Modern offices in Germany and the Netherlands
• A personal Learning & Development budget
• Up to30 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
• Company-sponsored business travel