Staff Software Engineer, Applied AI

Parachute Health is transforming post-acute care as the leading digital ordering platform for medical equipment and supplies.

We connect major health systems, health plans, and suppliers to help patients get the life-saving products they need at home.

Since launching, we've connected 300,000+ clinicians and 3,000+ supplier locations across all 50 states and helped 15M+ patients.

What started as a DME ePrescribing tool has become the order management platform of choice for home medical equipment.

Join our team and make a difference in patient care.

About the Team

We're an incubator-style team inside Parachute Health, scaling AI capabilities across the entire product ecosystem.

• Design and build agentic LLM pipelines that power AI features across the product.
• Build full-stack product features: Python/FastAPI web applications, TypeScript or React web tooling.
• Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on accuracy, latency, and cost.
• Strengthen our evaluation framework: curated datasets, evals, experiments, and regression identification, so we can ship changes with confidence.
• Improve production observability: accuracy signals and feedback loops.
• Contribute to architecture and technical direction.
• Actively partner with other product teams to understand their AI use cases and identify how to best enable and support them.
• Advise on when to apply an AI/LLM solution, and when not to: championing AI where it drives speed and ROI and steering away where it doesn't.

• 5+ years of professional software engineering experience
• Experience working in a startup, incubator, or other fast-paced 0-to-1 environment where you own features end-to-end and set your own direction.
• Strong full-stack web application experience in Python.
• Has shipped reliable agentic LLM workflows to production, with any orchestration framework (LangGraph, LangChain, etc).