Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Tutzing
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI and ML solutions to optimize data integrations, implement scalable microservices, create APIs, and automate data pipelines for real-time processing in the supply chain.
Job Technologies
Your role in the team
- This is a vacancy for a hybrid or on-site role at our HQ in Tutzing (south of Munich) or Amsterdam.
- 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.
- 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 and/or GraphQL 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.
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Our expectations of you
Qualifications
- Strong skills in Python development, including building microservices and working with event-driven architectures.
- Proficiency in designing and consuming RESTful or GraphQL APIs.
- Strong communication skills in English.
Experience
- 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.
- 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).
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Lobster DATA GmbH
Lobster DATA GmbH, based in Tutzing, Germany, specializes in the development of no-code software solutions. The company offers a comprehensive data platform that assists organizations in the efficient integration and automation of data. With a focus on EDI standards and APIs, Lobster DATA GmbH serves various industries, including logistics, manufacturing, and trade.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Machine Learning Engineer
- Location
- Tutzing
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
