Position Overview:
This is a vacancy for a hybrid or on-site role at one of our HQs. We encourage applications from all qualified candidates, regardless of gender identity.
As we continue to expand and evolve our Data Platform and Data Network products, 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 practical solutions that scale our product capabilities. The department is responsible for the design, development and growth of our Data Platform as well as our Data Network and connected Data Products.
We are in the process of establishing practical AI/ML & GenAI solutions to scale our product capabilities and enhance our data integration offerings. It is our mission to connect people, data and intelligence (human & artificial) to optimise processes in the supply chain, choosing the right tools for each challenge.
Ready to make an impact?
You’ll get to take ownership of:
* Developing an intelligent, AI-powered guide designed 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.
We’d love to meet someone with:
* 5+ years of engineering experience focused on Machine Learning, AI, and Data Science.
* Hands-on production GenAI experience with LLMs, NLP, Prompt Engineering, Knowledge bases and patterns like RAG, ReAct and MCP.
* Hands-on production ML/AI experience with PyTorch and ML pipelines 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.
* Strong communication skills in English.
You can look forward to:
* Opportunity to work flexibly from home
* Modern offices in Germany, the Netherlands, and the UK
* A personal Learning & Development budget
* Up to 20 days of remote work per year from any EU country
* Company Pension plan
* 30 vacation days a year
* Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat)
* Company-sponsored business travel
For this role, we are open to working with specialists based in Germany or the Netherlands Whether you prefer working on-site at our offices in Tutzing or Rotterdam, 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!
Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.
About us
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.