Staff Software Engineer, AI Agents for Finance

Poesis AI; Menlo Park (CA); Hybride; USD 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Résumé du poste

Poesis AI in Menlo Park, CA, is seeking an experienced software engineer to lead the development of agent-centric systems at the intersection of frontier models and production engineering. You will influence how frontier AI is used in investing and help shape the technical direction of our agent platform from an early stage.

This role focuses on designing scalable architectures, deploying agents in production, and building robust evaluation and observability to maintain reliability as models

Qualifications

• Experience building agent systems at a frontier AI lab, agentic startup, top fund, big tech company, or similar.
• Experience deploying agents in production and know what it takes to make them reliable.
• Experience with orchestration, tool use, context management and grounding.
• Understand agent failure modes and have built the evaluations and observability needed to diagnose and improve them.
• Understand financial markets and have a strong interest in investing.

Responsabilités

• 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 the infrastructure and deployment challenges of running agents reliably in production.

Connaissances

Agent systems

Production deployment

Orchestration & context management

Observability & evaluation design

Finance market interest

Formation

BS/MS/PhD in Computer Science or related field

Description du poste

Poesis AI in Menlo Park, CA, is seeking an experienced software engineer to lead the development of agent-centric systems at the intersection of frontier models and production engineering. You will influence how frontier AI is used in investing and help shape the technical direction of our agent platform from an early stage.

This role focuses on designing scalable architectures, deploying agents in production, and building robust evaluation and observability to maintain reliability as models