Principal AI & Agent Systems Engineer
New
GermanyFull-TimePrincipal
Salary not disclosed
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Job Details
- Required Skills
- DockerPythonMachine Learning
Requirements
- Experience building real agent systems (multi-agent architectures, tool use and function calling).
- Expertise in agent orchestration, planning systems, and long-term memory.
- Proficiency with knowledge graphs and RAG architectures.
- Experience with agent evaluation frameworks and autonomous research workflows.
- Production-quality software development skills in Python.
- Experience with API design and integration.
- Experience with cloud infrastructure, Docker, and containerization.
- Working knowledge of databases including vector databases.
- Comfort with mathematical concepts: linear algebra, optimization, probability, graph theory, and dynamical systems.
Responsibilities
- Design multi-agent research systems and the orchestration that ties them together.
- Build long-term memory architectures for scientific reasoning.
- Create paper ingestion and knowledge extraction pipelines.
- Develop scientific reasoning workflows and connect AI agents to simulation environments.
- Build autonomous experiment and evaluation loops.
- Design retrieval, planning and orchestration systems.
- Integrate state-of-the-art LLMs and open-source models.
- Develop scalable infrastructure for continuous learning.
- Explore next-generation AI architectures for scientific discovery.
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