Have between new graduate level and 5 years of engineering experience.
Have a strong background signal, such as experience at a notable startup or large technology company, or a degree from a top computer science program.
Have solid Python backend fundamentals, including APIs, asynchronous programming, databases, and cloud deployment.
Use agentic coding assistants daily and have well-formed views on improving agent-based systems.
Be self-motivated, quick to ramp up, able to work with minimal guidance, and comfortable with ambiguous scope.
Responsibilities
Build and extend tools that an AI agent can use to complete multi-step business tasks.
Improve the quality, breadth, and depth of the agent's capabilities so it delivers dependable end-to-end results.
Combine existing tools and create new ones, such as email drafting, document completion, and third-party account integrations.
Contribute to shared infrastructure supporting the company's other business lines.
Own delivery from the start, ramping up quickly and working in a fast-moving, AI-assisted development workflow.
Desired Qualifications
Have full-stack experience, including TypeScript on the frontend.
Have zero-to-one startup experience with demonstrable users.
Have a background in high-frequency trading or quantitative engineering.
Have a genuine interest in user experience and product, not only systems.
Founding Software Engineer
Raydar · New York, United States · Full-time · Posted 2026-10-01
Salary: USD 175,000–250,000
Workplace: on_site
Description
About the company
Our client is a fast-growing financial technology company.
The role
Raydar is recruiting for this role on behalf of our client. Join a small engineering group as an early hire with significant autonomy, building backend services and tooling for an AI-driven software product while also supporting existing core platform systems. The work is hands-on and mostly backend, with some exposure to frontend development.
What you'll do
- Build and extend the set of tools an AI agent can use to complete multi-step business tasks.
- Improve the quality, breadth and depth of the agent's capabilities so it delivers dependable end-to-end results.
- Combine existing tools and create new ones, such as email drafting, document completion and third-party account integrations.
- Contribute to the shared infrastructure that supports the company's other business lines.
- Own delivery from the start, ramping up quickly and working in a fast-moving, AI-assisted development workflow.
Requirements
What we're looking for
- Between new graduate level and 5 years of engineering experience.
- A strong background signal, such as time at a notable startup or large technology company, or a degree from a top computer science program.
- Solid Python backend fundamentals, including APIs, async programming, databases and cloud deployment.
- Daily use of agentic coding assistants, with well-formed views on how to make agent-based systems better.
- A self-motivated, tech-lead-style approach: quick to ramp up, able to work with minimal guidance and comfortable with ambiguous scope.
Bonus points
- Full-stack experience, including TypeScript on the frontend.
- Zero-to-one startup experience with demonstrable users.
- Background in high-frequency trading or quantitative engineering.
- Genuine interest in user experience and product, not only systems.