Senior Python Software Engineer

Position Overview:

This is a vacancy for a hybrid or on-site role at our HQ in Tutzing (South of Munich) or Amsterdam . We encourage applications from all qualified candidates, regardless of gender identity. 

 
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 optimise 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  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 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.

We’d love to meet someone with:

• 5+ years of professional software engineering experience, with a track record of building and running production-grade software. 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.
• Production-grade Python expertise: strictly-typed, object-oriented code that goes well beyond scripting or notebooks, and the ability to work within an established framework.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).
• Strong skills in Python development, including building micro-services and working with event-driven architectures. 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 – most developers today have at least tried an AI coding assistant or built a quick agentic proof of concept. Familiarity with cloud AI services (e.g., SageMaker, Bedrock, Azure ML) is a bonus, though deep ML specialism is not required. 
• Experience with CI/CD (GitHub Enterprise) and Infrastructure-as-Code (Terraform, Pulumi).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.
  

• 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 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 

About us

Lobster is the data integration platform that connects supply chain partners and systems across any format or technology. It turns scattered data into a clean, flowing foundation for AI, so teams can make faster decisions and face fewer disruptions. The Lobster Data Platform reduces complexity through real-time integration, intelligent automation, and built-in quality control. The Lobster Data Network breaks down silos and enables secure collaboration across complex supply chains. For industry-specific needs, Lobster Data Products offer ready-to-use solutions that deliver impact quickly. With a presence across the DACH region, the UK, France, Scandinavia, and the Benelux, and over 2,000 customers globally, Lobster helps companies unlock the full potential of their data and stay agile in a rapidly evolving digital world.