remote
Staff Software Engineer, Applied AI
Staff Software Engineer (FullStack)
As a Staff Software Engineer, Applied AI, you will be instrumental in scaling AI capabilities across Parachute Health's product ecosystem. You will design and build agentic LLM pipelines, develop full-stack product features using Python/FastAPI and TypeScript/React, and lead prompt engineering efforts to enhance AI feature performance.
About the role
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, 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.
Nice to have
- 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.