About the Role

Join a small team building AI coding agents for investment research workflows. As the first engineering hire, you will help mature the 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, scrapers, and dashboards for investment customers.

Manage remote development environments and infrastructure for customer agent deployments.

Work directly with customers to understand research goals and deliver tailored solutions.

Take features from design and scoping through implementation and delivery.

Develop agent skills, tool libraries, and scaffolding to expand the platform's capabilities.

What We're Looking For

Two to four years of full-stack product engineering experience, with examples of shipping production software end to end across frontend, backend, data, and infrastructure.

Hands-on experience building and deploying AI agent systems, including agent loops, tools, sandboxes, or evaluations, rather than only using model APIs or writing prompts.

Experience delivering applied product engineering work and working with low-level infrastructure, development environments, containers, and deployments.

Proficiency with Python, React, SQL, PostgreSQL, DuckDB, LLMs, and agent frameworks.

Experience with data pipelines, including web scraping, API integrations, and ETL for structured or unstructured sources.

Customer-facing engineering experience translating requirements into shipped product; familiarity with finance, investing, or financial data products is valuable.

A bachelor's degree in computer science or a STEM field, with strong fundamentals and evidence of engineering craft through shipped products, projects, open-source work, 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.