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Raydar

Founding Software Engineer

Posted 4 Days Ago
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In-Office
New York, NY
175K-250K Annually
Mid level
In-Office
New York, NY
175K-250K Annually
Mid level
Join a small engineering team to build backend services and tools for an AI-driven software product. Develop agent capabilities for multi-step business tasks, including email drafting, document completion, and third-party integrations. Improve agent reliability, contribute to shared infrastructure, and own delivery in a fast-moving development environment. The role is primarily backend with some frontend exposure and requires autonomy, strong Python skills, and experience with AI-assisted development.
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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.


Benefits

Compensation and benefits

- Base salary: USD 175,000 to 250,000 per year

- Equity

Location and work model

- New York City, NY, United States

- On-site (in-person)

- Full-time

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