About the Role
Join a small engineering team building AI coding agents for financial research workflows. As an early engineering hire, you will help mature the core product and work directly with customers to turn research needs into reliable software.
What You'll Do
Build and improve coding agents that create custom data pipelines, web scrapers, and dashboards.
Manage remote development environments and infrastructure for customer deployments.
Work directly with customers to understand their research goals and deliver tailored solutions.
Take features from initial design and scoping through implementation and delivery.
Develop agent skills, tool libraries, and scaffolding that expand platform capabilities.
What We're Looking For
Two to four years of full-stack product engineering experience, with demonstrated ability to ship across frontend, backend, and data systems.
Experience building with Python, React, SQL, LLMs, and agent frameworks.
Hands-on experience applying research in practical products, including LLM-powered applications or coding agents.
Experience with data pipelines, including web scraping, API integrations, and ETL for structured or unstructured data.
Customer-facing engineering experience and the ability to turn client requirements into shipped product.
A background in computer science or a related STEM field, strong engineering fundamentals, and evidence of meaningful product impact.
Experience or interest in finance, investing, or financial data products is valuable, as are notable projects, open-source contributions, or technical writing.
Compensation & Benefits
Base salary: $165,000 to $210,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.