About the company
Our client is a financial software company.
The role
Raydar is recruiting for this role on behalf of our client. Build backend-heavy services and AI agents for a software product, owning one functional area end to end and possibly leading a small group of engineers. The work spans model pipelines, infrastructure, backend services and user-facing features, with a strong focus on reliability and auditability. A background in backend or infrastructure engineering and prior experience shipping AI agents are central to the role.
What you'll do
- Own one functional area end to end, working with a small group of two to three engineers and possibly leading them.
- Build and run AI agents across the model pipeline, infrastructure, backend and user interface.
- Create verification, guardrails, monitoring and evaluation for non-deterministic AI systems so that users and reviewers can rely on them.
- Design the data context agents work from, and ingest, normalize and reconcile data from many third-party business systems.
- Build long-running, fault-tolerant workflows and idempotent, auditable writes to external systems of record.
- Spend time with end users to learn their processes before building the system that replaces the manual work.
- Contribute to full-stack work when the problem calls for it.
Requirements
What we're looking for
- At least 5 years of experience, mostly in backend or infrastructure engineering.
- Experience building and shipping AI agents in any domain.
- Bachelor's degree in computer science or a closely related engineering field from a leading university; strong alternatives are considered for other degrees paired with comparable experience at a top technology company.
- Experience building demanding backend systems such as distributed pipelines, ledger or transactional systems, integration platforms or workflow engines.
- Authorized to work in the US and able to work on-site five days a week.
Benefits
Compensation and benefits
- Base salary: USD 190,000 to 260,000 per year
Location and work model
- New York City, NY, United States
- On-site, 5 days a week
- Full-time
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