Senior AI Engineer (m/f/d)
Eigenblue GmbH5 hours ago
Base Salary
$100k - $250k/yr
Responsibilities
- Develop and deploy advanced LLM and non-LLM AI solutions for physical R&D automation and multidisciplinary system design.
- Design, implement, and test AI reasoning approaches using proprietary ontologies, algorithms, public tools, and data.
- Build and maintain production MLOps infrastructure across Azure, AWS, and GCP.
- Implement scalable API microservices using Docker, Kubernetes, and FastAPI.
- Build data pipelines and integrate AI features into user-facing products in collaboration with AI, data, product, executive, and software teams.
- Implement and optimize RAG systems, multi-agent architectures, fine-tuning pipelines, bias and hallucination mitigation, and LLM evaluation metrics.
Requirements
- Master's or PhD in Computer Science, Software Engineering, or a related discipline.
- At least 3 years of hands-on AI/ML development experience; the posting describes a 3–6+ year profile.
- Experience with production LLM deployment, MLOps, cloud CI/CD pipelines, containerization, scalable model APIs, monitoring, drift detection, and security.
- Expertise with LLM providers, RAG, agents/MCP, multi-agent architectures, SFT/RFT, and LLM-as-a-judge metrics.
- Expertise in one or more advanced AI topics such as dynamic-system simulation, world models, reinforcement learning, planning and control theories, physics-informed models, robotics, or mechatronics.
- Strong written and verbal English communication skills and the ability to collaborate across multidisciplinary teams.
Benefits
- Base benefits include medical, dental, and vision insurance, mental health support through OpenUp, voluntary benefits, and a 401(k) plan with company match.
- Annual performance and progression reviews, performance-based package adjustments, and an individual learning and development budget.
- Generous PTO policy.
- Remote position with WeWork day-pass access, a travel budget for visits to the Munich headquarters, and company events.
- Opportunity to work hands-on with new technologies and contribute to an AI product from its inception.
Tech Stack
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