Senior Machine Learning Engineer

Position Overview

This is 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 / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team.

In this role, you will help design and implement AI/ML & GenAI solutions that enhance our data integration offerings and push our platform capabilities forward. 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.

Key Responsibilities

• Develop 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.
• Define and implement scalable microservices that drive data mapping, transformation, and intelligent integration.
• Develop and maintain RESTful and/or GraphQL APIs to ensure seamless communication between services and systems.
• Create and optimise event-driven data pipelines to enable real-time processing, automation, and decision-making across our products.
• Evaluate, select, and implement the best-fit tools and technologies to solve complex engineering and data challenges effectively.
• Collaborate directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability.

Required Qualifications

• 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

• 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

Location & Work Arrangements

For this role, we are open to working with specialists based in Germany and the Netherlands. Whether you prefer working on-site at our offices in Tutzing or Amsterdam, or remotely from a location within one of these countries, we're happy to accommodate your preferred working style.

If you're excited about this role but don't meet every qualification, we encourage you to apply!

About Lobster

Lobster is a pioneering no-code software company that enables organisations to unlock the full potential of their data. Its comprehensive Data Platform allows companies to integrate, manage, and automate data efficiently, while its Data Network facilitates secure and seamless data exchange between partners and systems. From connectivity to consumable Data Products, Lobster's solutions empower businesses across industries to stay agile and competitive. With a presence in DACH, the UK, France, Scandinavia, and the Benelux region, Lobster serves over 2,000 customers globally.

Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.