AI Systems Architect – Research Engineer

Role overview Explore and prototype AI models and agent-based systems, then shape promising ideas into architectures that can support real products. The role connects research, rapid experimentation and practical system design, working with both human developers and AI agents.

Responsibilities - Research and prototype emerging AI models and agentic systems. - Design scalable architectures for products serving early-stage companies and larger organizations. - Contribute to rapid MVP sprints and experimental projects. - Coordinate development work across human teammates and AI agents. - Turn broad product goals into technical plans that can be tested and evaluated.

Requirements - Hands-on experience designing, evaluating or integrating systems powered by large language models. - Sound architectural judgment across data flows, APIs, cloud services and production reliability. - Ability to make ambiguous product goals concrete as testable technical plans. - Clear communication with both technical and non-technical stakeholders.