Senior AI Engineer (m/f/d)

eigenblue

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Computer Science or related field, with 3-6+ years of AI/ML experience.
  • Experience in LLM production deployment and MLOps on cloud platforms.
  • Strong expertise in AI tools and concepts like RAG systems and multi-agent architectures.
  • Familiarity with advanced AI topics such as reinforcement learning and physics-informed models.
  • Excellent communication skills in English for effective cross-disciplinary collaboration.

Responsibilities

  • Develop and deploy advanced AI solutions for physical R&D automation.
  • Design and test innovative AI reasoning approaches using proprietary and public resources.
  • Build and maintain MLOps infrastructure on cloud platforms with scalable APIs.
  • Collaborate with stakeholders to integrate AI features into user-facing products.
  • Implement and optimize RAG systems and multi-agent architectures while addressing biases.

Benefits

  • Opportunity to work at the forefront of AI and physical system designs.
  • Direct collaboration with the founding team and key stakeholders.
  • Involvement in cutting-edge AI projects within robotics and mechatronics.
  • Access to a dynamic work environment that values innovation and creativity.
  • Professional development opportunities in a rapidly evolving field.
Full Job Description
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
Your Profile
  • 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

Does that make you curious? Julia is your contact person for further questions and looks forward to hearing from you!

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