StaffSoftwareEngineer,AppliedAI

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. What you'll do Design and build agentic LLM pipelines that power AI features across the product. Build full-stack product features: Python/FastAPI web applications, TypeScript/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. Requirements 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). Experience evaluating and testing LLM workflows: eval harnesses