Founding Software Engineer
Raydar
Founding Software Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · New York, United States · Full-time · Posted 2026-11-10
Salary: USD 125,000–225,000
Workplace: on_site
About the company
Our client is a fintech company.
The role
Raydar is recruiting for this role on behalf of our client. Build and own backend and infrastructure systems for a small, fast-moving team, with wide latitude over technical choices and full accountability for the outcomes of those choices. The work spans product features and the platform underneath them.
What you'll do
- Build and maintain backend services and infrastructure that support product development.
- Connect software to external partner systems through APIs.
- Improve developer tooling, testing and continuous integration so releases ship quickly and safely.
- Develop data pipelines and warehouse infrastructure for financial data.
- Help keep sensitive customer data secure and compliant in a heavily regulated setting.
- Work on voice and conversational AI infrastructure for high-volume customer interaction.
- Address root causes of problems in systems rather than one-off fixes.
What we're looking for
- At least 2 years of relevant engineering experience.
- Comfort building software with and for AI agents.
- Experience in at least one of: API integrations, developer tooling, voice AI infrastructure, data warehousing, or security, compliance and privacy engineering.
- A track record of shipping production changes safely and quickly.
- Willingness to take ownership of technical decisions and their consequences.
- Ability to work six days a week, in person.
Compensation and benefits
- Base salary: USD 125,000 to 225,000 per year
- Health, dental and vision coverage
Location and work model
- New York City, New York, United States
- On-site
- 6 days per week in office
- Full-time
Powered by Workable
Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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