Das ist der Job
Build algorithms for agent communication, collaboration, and task execution in complex, evolving environments.
Darum lohnt es sich
useblocks is redefining the future of engineering workflows by enabling “Engineering-as-Code.” From aerospace to automotive to medical, global leaders like BMW , Bosch , CARIAD and Mercedes-Benz trust our tools for safety‑critical systems.
Our open‑source project, Sphinx-Needs , has grown to over 341,000 monthly downloads , setting the standard for documentation and traceability management. Your Role
We are looking for an exceptional AI Engineer to design, implement, and scale next‑generation multi‑agent systems powered by Large Language Models (LLMs).
You’ll play a pivotal role in advancing useblocks’ AI strategy—creating autonomous agent ecosystems that drive traceability, automation, and contextual intelligence across highly regulated software environments.
This role blends deep research with practical implementation, and offers the opportunity to work on privacy‑first, local‑first solutions in collaboration with our engineering and open‑source communities.
Key Responsibilities Research, design, and implement multi‑agent LLM‑based architectures to tackle real‑world engineering and traceability challenges. Explore federated learning to enable on‑device training of local models, later merged into global architectures—without exposing user d
