Senior Agent Platform Engineer - AI Investing

Poesis; Menlo Park (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Catered lunches

Commuter benefits

Relocation allowance

Job summary

Poesis is building an AI-native investment platform where frontier models power autonomous agents for investing, risk management, and alpha discovery. We are seeking an experienced software engineer to lead agentic development, operating at the intersection of frontier models and production engineering to shape the platform's technical direction from an early stage.

The role focuses on designing scalable agent architectures, productionizing agents, and building robust evaluation and

Qualifications

• You’ve built agent systems at a frontier AI lab, agentic startup, top fund, big tech company, or similar.
• You’ve deployed agents in production and know what it takes to make them reliable.
• You have experience with orchestration, tool use, context management and grounding.
• You understand agent failure modes and have built the evaluations and observability needed to diagnose and improve them.
• You understand financial markets and have a strong interest in investing.
• You have a BS/MS/PhD in Computer Science or a related field, or equivalent practical experience.

Responsibilities

• 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.

Skills

Agent systems

Production deployment

Orchestration

Context management

Grounding

Observability

Reliability engineering

Financial markets understanding

Collaboration

Education

BS/MS/PhD in Computer Science or related field

Tools

Orchestration tools

Monitoring tools

Data providers (Bloomberg, Capital IQ, Refinitiv)

Job description

Poesis is building an AI-native investment platform where frontier models power autonomous agents for investing, risk management, and alpha discovery. We are seeking an experienced software engineer to lead agentic development, operating at the intersection of frontier models and production engineering to shape the platform's technical direction from an early stage.

The role focuses on designing scalable agent architectures, productionizing agents, and building robust evaluation and