(Senior) AI Engineer

As (Senior) AI Engineer (m/f/d) you will be at the forefront of building our AI product from the ground up. You’ll develop cutting-edge AI solutions that power physical R&D automation, working directly with our founding team to shape the future of AI-driven multidisciplinary system design. Your Role

• Develop and deploy advanced AI solutions (LLM and non-LLM) at the forefront of physical R&D automation and system design in mechatronics and robotics
• Design, implement, and test innovative approaches for advanced AI reasoning, leveraging our proprietary ontology and algorithms combined with public tools and data
• Build and maintain production-ready MLOps infrastructure using cloud platforms (Azure, AWS, GCP), implementing scalable API microservices with Docker, Kubernetes, and FastAPI
• Work closely with various stakeholders, such as AI and Data Engineers, Product Managers, Chief Officers and Software Teams, to build data pipelines and integrate AI features into user-facing products
• Implement and optimize RAG systems, multi-agent architectures, and fine-tuning pipelines (SFT/RFT) while addressing biases, hallucinations, and LLM evaluation metrics

• Master’s or PhD in Computer Science, Software Engineering, or related discipline, with 3-6+ years of hands-on experience in AI/ML development
• Proven experience with LLM production deployment, MLOps, and CI/CD pipelines on cloud platforms, including containerization, model deployment as scalable APIs, monitoring, drift detection, and security
• Strong expertise with AI tools, LLM providers, implementing RAG, agents/MCP, multi-agent architectures, SFT/RFT, and LLM-as-a-judge metrics
• Expertise with one or several advanced AI topics such as simulation of dynamic systems, world models, reinforcement learning, planning and control theories, physics-informed models, robotics/mechatronics
• Excellent written and verbal communication skills in English, with the ability to collaborate effectively across multidisciplinary teams

eigenblue - We’re building the future of engineering. A future where engineers build intelligent systems that solve complex problems, and work alongside those systems to bring their solutions into the real world. We solve complex, multidisciplinary engineering problems by combining deep human expertise with AI systems we build ourselves. Our proprietary AI models generate system architectures across software, electronics, mechanics, and applied physics - and our engineers stay in the loop, not as supervisors but as the decisive factor to bring those architectures into the real world.