Teams at Poesis Inc.

Develop, iterate, and deploy machine learning models and agent systems for investment decision-making. Design experiments, build reproducible feature-generation and evaluation workflows, and work with large-scale financial and alternative datasets to identify predictive signals and improve production performance.

Lead technical development of the agent platform: design and build agent-driven products, establish infrastructure and patterns for reliable deployment, and collaborate on vision and roadmap to scale production multi-agent systems.

Implement research prototypes into production-quality code, build and maintain data pipelines and feature generation, run backtests and experiments, ensure reproducibility, testing, and documentation, and communicate results to leadership.