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Penguin Ai

AI platform automating healthcare workflows

Staff Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeMexicoNo salary listedIn-person

About the Job

Requirements

  • Meet each need with the simplest solution that serves it, weighing problems against business priorities and deferring work that does not yet warrant the effort.
  • Surface risks, slips, and personal mistakes promptly, with a proposed way forward rather than blame.
  • Drive technical direction with evidence-backed ideas.
  • Welcome challenge, defend positions against unsupported objections, and revise publicly when proven wrong.
  • Engage technical disagreements, keep debate focused on ideas, and escalate early when agreement cannot be reached.
  • Write code and designs that are correct, tested, secure, and maintainable; disclose technical debt and own a repayment plan.
  • Have expert-level proficiency with AI coding tools such as Claude, Gemini, Copilot, Cursor, Windsurf, or Codeium.
  • Demonstrate English fluency in speaking and writing.
  • Hold a bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Responsibilities

  • Identify problems that limit business progress, advocate for solutions with decision owners, and drive agreed fixes across the owners of involved systems.
  • Lead projects end to end, delegate to help others grow, unblock colleagues, own team output, credit the team, and take responsibility for problems.
  • Set engineering direction with technical leaders, define tools, libraries, and practices across departments, and champion the group's decision even when one's own proposal is not chosen.
  • Build measurements where data does not exist and document alternatives and trade-offs.
  • Share designs early and document decision rationale and uncertainties.
  • Write and ship code on the team's hardest problems, seek difficult work, and review code promptly while challenging the code rather than the person.
  • Own production reliability, operability, and long-term system health; prevent incidents through observability and tested recovery, and fix root causes.
  • Take ownership when production incidents occur, communicate early and calmly, drive fixes to completion, and review systems and decisions rather than individuals.
  • Use AI throughout engineering work and take responsibility for its output; work with peers to define appropriate trust, review, and verification practices.
  • Represent engineering to internal and external customers, explain trade-offs plainly, and bring the team along.
  • Coach engineers toward the next level with direct, empathetic feedback, shared mistakes, and challenging assignments.
  • Evaluate candidates and colleagues against a consistent evidence-based engineering talent standard.

Desired Qualifications

  • Have delivered AI or automation projects with measurable impact.
  • Have experience thriving in a high-growth startup.
  • Be able to translate between product, clinical, and executive terminology.
  • Have a reputation for turning struggling projects around.

About the Company

Penguin Ai

AI platform automating healthcare workflows

Penguin AI provides a healthcare AI platform that helps payers and providers automate workflows and reduce repetitive tasks. It offers a flexible platform that clients can use in three ways: start with pre-built digital workers, fine-tune existing small language models on their own data, or build new language models tailored to specific tasks. The platform is designed for rapid deployment, enabling AI solutions to be up and running in 90 days, compared with longer traditional timelines. Revenue comes from platform-as-a-service subscriptions with ongoing support and updates. What sets Penguin AI apart is its domain expertise from leaders with backgrounds at Kaiser Permanente and UnitedHealthcare Optum, combining deep healthcare knowledge with an adaptable AI platform that scales across client needs. The company’s goal is to improve operational efficiency and patient care in healthcare by delivering fast, customizable AI tools that address payer and provider workflows.

Company size
51-200
Company stage
Series A
Total funding
$29.7M
Headquarters
Palo Alto, CA
Founded
2024

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