Healthcare AI Software Engineering Intern

Worky

New York (NY)

On-site

USD 107,000 - 144,000

Full time

9 days ago
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Benefits offered by this job

Housing stipend

Job summary

Garner Health in New York City offers a 10-week summer Software Engineering Internship. You’ll join a multidisciplinary team of engineers, designers, and product managers to build features that help members find doctors and manage claims. Select interns may receive full-time roles after the program.

You will work in a fast-paced, agile environment, gaining hands-on experience with AI-enabled systems and a mission-driven healthcare reform effort that uses data to improve outcomes.

Qualifications

  • Pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028)
  • Solid CS fundamentals with exposure to front-end or back-end technologies; familiarity with databases or cloud platforms is a plus
  • Exposure to or interest in building with AI coding agents is a plus

Responsibilities

  • Use AI to build, optimize, and maintain software systems
  • Collaborate across disciplines to understand our domain and iterate on projects
  • Participate in code reviews, sharing your insights and learning from others
  • Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued
  • Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact

Skills

CS fundamentals
Frontend: JS/React
Backend: Python/Node.js
AI coding agents exposure

Education

Pursuing CS or related STEM degree

Tools

AWS
Docker
Claude Code

Job description

Garner Health in New York City offers a 10-week summer Software Engineering Internship. You’ll join a multidisciplinary team of engineers, designers, and product managers to build features that help members find doctors and manage claims. Select interns may receive full-time roles after the program.

You will work in a fast-paced, agile environment, gaining hands-on experience with AI-enabled systems and a mission-driven healthcare reform effort that uses data to improve outcomes.

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