À propos du poste
About the company
Our client is a healthcare technology company.
The role
Raydar is recruiting for this role on behalf of our client. Build and ship AI-driven software features from early prototype through production, working across backend services and user-facing applications. Own the design of the systems that let automated workflows run reliably, and partner with product and domain experts to turn real-world needs into dependable software.
What you'll do
- Build and evolve a software platform that runs automated, AI-driven workflows, including state handling, tool integration, orchestration, permissions and human review steps.
- Prototype new product experiences quickly and turn the strongest ones into production-quality software.
- Create test suites, regression checks and release criteria that gauge quality, reliability, safety, speed and cost.
- Add monitoring and tracing across model behavior, errors and end-to-end workflow results so issues are easier to debug and fix.
- Work closely with domain experts, product leaders and fellow engineers to turn real workflows into trustworthy software.
Requirements
What we're looking for
- 3+ years of software engineering experience.
- Experience running LLM-based systems in production, including tool calling, orchestration and context handling.
- Experience designing and building a product end to end.
- Background in healthcare or another highly regulated domain.
- Strong proficiency in Python and TypeScript across backend and front-end work.
- Hands-on practice measuring the quality of AI model output and keeping it stable over time, through automated testing or runtime monitoring.
- Ability to explain technical tradeoffs clearly to non-technical colleagues.
- Ability to work hybrid from the New York office.
Bonus points
- Prior work on internal frameworks that coordinate or run automated software tasks.
Benefits
Compensation and benefits
- Base salary: USD 220,000 to 245,000 per year
- Equity
Location and work model
- New York, NY, United States
- Hybrid
- Full-time