AI-Driven Software Engineer — NYC Onsite + Equity

Blossom; New York (NY); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity

Health, dental, vision insurance

Unlimited PTO

NYC office with snacks

Job summary

Blossom Health is seeking a software engineer to build AI-native product experiences used by clinicians and patients in a fast-growing startup environment. You will design and ship LLM-powered systems that automate and augment healthcare workflows, owning features end-to-end from prototyping to production.

You’ll collaborate with clinicians and engineers to iterate rapidly, focusing on evals, reliability, latency, and cost.

Qualifications

• Bachelor's degree in CS or related field
• 2+ years of professional software engineering experience
• Experience building and shipping LLM-powered applications in production
• Fluent in Python and/or TypeScript
• Experience with modern LLM APIs, agentic systems, tool calling, retrieval, or related AI patterns
• Strong focus on evals, reliability, latency, cost, and failure modes
• Comfort moving across the stack and testing new models/frameworks

Responsibilities

• Build and ship AI-native product experiences used by clinicians and patients
• Design and develop LLM-powered systems and agents for healthcare workflows
• Own AI features end-to-end from prototyping to production deployment
• Develop evaluation, monitoring, and feedback systems to improve AI quality
• Collaborate with clinicians and engineers to optimize healthcare workflows

Skills

Python

TypeScript

LLM apps

APIs

Evaluation

Reliability

Latency

Ownership

Autonomy

Education

Bachelor's degree in CS or related field

Job description

Blossom Health is seeking a software engineer to build AI-native product experiences used by clinicians and patients in a fast-growing startup environment. You will design and ship LLM-powered systems that automate and augment healthcare workflows, owning features end-to-end from prototyping to production.

You’ll collaborate with clinicians and engineers to iterate rapidly, focusing on evals, reliability, latency, and cost.