Parachute Health Logo

Parachute Health

Staff Software Engineer, Applied AI

Reposted 16 Days Ago
Remote
Hiring Remotely in U.S.
200K-230K Annually
Senior level
Remote
Hiring Remotely in U.S.
200K-230K Annually
Senior level
Design and build agentic LLM pipelines and full-stack AI features. Implement Python/FastAPI backends and TypeScript/React tooling, prompt-engineer models, develop eval datasets and observability, and partner with product teams to deploy reliable production LLM workflows.
The summary above was generated by 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.

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 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.

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.

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

Base Salary Band (based on experience and level)

Staff: $200,000 - $260,000

To ensure you’re leveled accurately, all new engineers participate in a 90-day review. This allows us to calibrate your initial interview results with your actual work, ensuring your title and compensation align with your impact and our engineering rubric.


California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here.

We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

This role is not eligible for employer visa sponsorship. Applicants must be legally authorized to work in the United States at the time of application and for the duration of employment. The Company does not sponsor employment authorization for this position.


HQ

Parachute Health New York, New York, USA Office

200 Park Ave S, New York, NY, United States, 10003

Similar Jobs

2 Days Ago
In-Office or Remote
New York, NY, USA
Senior level
Senior level
Artificial Intelligence • HR Tech • Machine Learning • Natural Language Processing • Software • Conversational AI • Generative AI
Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.
Top Skills: AWSAzureBi ToolsCloud Ml ServicesDockerGCPKubernetesLarge Language Models (Llms)MatplotlibMlflowNlpNumpyPandasPlotlyPysparkScikit-LearnSeabornSQLWeights & Biases
55 Seconds Ago
Remote or Hybrid
United States
121K-149K Annually
Senior level
121K-149K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage relationships with third-party administrators, vendors, brokers, and Korea-based clients. Negotiate domestic and international vendor and client contracts and SLAs, monitor vendor performance, lead renewals, handle claims escalations, deliver Korean-language onboarding presentations and materials, translate portal/content, and pursue new business opportunities with brokers.
2 Minutes Ago
Remote or Hybrid
United States
210K-210K Annually
Senior level
210K-210K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead architecture, modernization, and development of Group Insurance applications. Modernize mainframe monoliths into Java microservices and micro-frontends on cloud, mentor distributed Agile teams, collaborate with enterprise architecture, product owners and infrastructure, and enable test automation and integrations. Approximately 10% domestic travel.
Top Skills: Ai/MlAWSAzureBpmCicsCloudCobolDb2DevOpsIntegrationsJavaJavaScriptMainframeMicro-FrontendMicroservicesNode.jsNoSQLPythonRdbmsSalesforceSsoUi FrameworksVsam

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account