Healthcare AI Platform Engineer (Intern)

Charta Health

San Francisco (CA)

On-site

USD 55,000 - 83,000

Full time

14 days+
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Benefits offered by this job

Team dinners and snacks in office
Growth opportunities in a fast-growing
Ongoing professional development
Lively in-person SF/NYC office culture

Job summary

Charta Health, a startup building the operating system for modern healthcare, seeks a Software Engineering Intern to contribute to production AI-driven workflows for healthcare providers. You will work with clients to translate challenges into practical, data-driven solutions using Python and TypeScript.

You’ll prototype, deploy, and iterate on solutions while collaborating with the internal engineering team to improve core platform systems and data pipelines.

Qualifications

  • Proficiency in Python and TypeScript.
  • Strong understanding of common algorithms and data structures.
  • Experience writing unit/integration tests.
  • Ability to diagnose issues with debugging tools and logs.
  • Comfort navigating unfamiliar codebases and contributing quickly.

Responsibilities

  • Collaborate with clients to understand workflows and identify AI opportunities.
  • Customize and deploy AI-driven platforms for client needs.
  • Prototype and iterate on solutions based on feedback.
  • Break down projects into actionable steps and deliver results.
  • Contribute to scalable infrastructure and tooling for deployments.

Skills

Python
TypeScript
Algorithms & data structures
Unit & integration testing
Debugging

Education

2nd year CS/Engineering

Tools

LLMs

Job description

Charta Health, a startup building the operating system for modern healthcare, seeks a Software Engineering Intern to contribute to production AI-driven workflows for healthcare providers. You will work with clients to translate challenges into practical, data-driven solutions using Python and TypeScript.

You’ll prototype, deploy, and iterate on solutions while collaborating with the internal engineering team to improve core platform systems and data pipelines.

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