Staff Software Engineer, Applied AI
About The Position
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.
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, golden datasets, regressions, and observability.
- Familiarity with prompt engineering and the prompt iteration lifecycle.
- Fluent with AI-powered coding tools (e.g. Cursor, Claude Code) to move quickly.
- Strong written and verbal communication; able to drive alignment without being asked.
- Must reside in the U.S.
- Applicants must be legally authorized to work in the United States at the time of application and for the duration of employment.
Nice To Haves
- Healthcare workflows or health-tech experience.
- Ruby on Rails experience
- A track record of evaluating emerging AI tools and driving their adoption on a team.
Responsibilities
- 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.
Benefits
- Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
- Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
- 401(k) Retirement Plan
- Equity Incentive Plan
- Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
- Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
- Flexible Vacation Policy
- Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
- Home Office and Wellness Stipend
- Monthly Internet Stipend
- Annual Learning and Development Stipend
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
