Poesis AI

Software Engineer

• Design and build the architecture behind a scalable, reliable agent platform that evolves as models advance
• Design and build agent-driven workflows and systems for complex investment problems
• Develop evaluation, observability, and feedback systems that make agents more reliable and capable over time
• Solve infrastructure and deployment challenges of running agents reliably in production
• Help define how frontier AI is used in investing and shape the technical direction of the agent platform
• Help shape the product and company operations as an early team member
• Build from first principles without legacy systems or entrenched processes

Explore Member of Technical Staff at Poesis AI. Review requirements and application details.

Member of Technical Staff

Machine Learning Engineer

• Find predictive signals in large financial, fundamental, and alternative datasets
• Design experiments and evaluations that separate real improvements from noise
• Build rigorous, reproducible ML research systems for fast experimentation
• Turn promising research into production models and signals that hold up over time
• Use real-world outcomes to understand where models and agents can improve
• Build models, signals, and evaluation tools for alpha discovery, decision-making, and intelligent risk management
• Work on complex, real-world financial data and influence actual investment decisions
• Help shape the product and company operations as an early team member
• Build from first principles without legacy systems or entrenched processes

Explore Technical Staff Member – Machine Learning at Poesis AI. Review requirements and application details.

Technical Staff Member – Machine Learning

Financial Planning and Analysis

• Turn financial research and model prototypes into robust production systems
• Make complex financial data reliable for rigorous modeling and investment research
• Build scalable, reproducible systems for feature generation, backtesting, and model evaluation
• Stress-test models and signals to understand what holds up and what breaks down
• Help solve engineering challenges involved in moving research from experiment to production
• Prepare large financial datasets
• Design and implement quantitative models and agents
• Build tools for testing and evaluation
• Work alongside the CEO, Chief Scientist, and AI and engineering teams on quantitative systems behind the investment process
• Move new ideas from experiment to production and inform investment decisions

Explore Technical Staff Member – Quantitative Finance at Poesis AI. Review requirements and application details.