SF‑Based AI Software Engineer Intern (Spring 2027)

Abridge; San Francisco (CA); On-site; USD 47,000 - 63,000; Full time

Benefits offered by this job

14 paid holidays

Flexible PTO

Health plans: Medical, Dental, Vision

HSA contributions

Parental leave

401(k) matching

Personal device allowance

Lifestyle wallet

Mental health support

Sabbatical after 5 years

Equity opportunities

Job summary

Abridge is seeking Software Engineering Interns for a 3-month Spring 2027 program in San Francisco. You’ll work on real features that translate cutting-edge language models into dependable clinical systems, under guidance from a dedicated mentor.

The role emphasizes hands-on coding, design, and collaboration across product, ML, and infrastructure teams. Applicants should be pursuing a CS or related degree and be eager to return to a full-time software role in 2027.

Qualifications

• Pursuing a BS or MS in CS, software engineering or related field.
• Interest in a full‑time software engineering role in 2027 with potential return offer.
• Experience using AI tooling to write, debug, and learn efficiently.

Responsibilities

• Design and build end-to-end features for backend and frontend systems.
• Fix bugs and improve quality‑of‑life across platforms.
• Work with evaluation frameworks to measure accuracy, robustness, and clinical reliability.
• Prototype with new models and prompting techniques.
• Collaborate across product teams to ship features to customers.
• Receive mentorship and pair programming in a startup environment.

Skills

CS fundamentals

Full-time intent 2027

AI tooling literacy

Collaborative mindset

Empathy for clinicians

Education

Bachelor’s or Master’s in CS/SE

Tools

LangChain

LlamaIndex

Job description

Abridge is seeking Software Engineering Interns for a 3-month Spring 2027 program in San Francisco. You’ll work on real features that translate cutting-edge language models into dependable clinical systems, under guidance from a dedicated mentor.

The role emphasizes hands-on coding, design, and collaboration across product, ML, and infrastructure teams. Applicants should be pursuing a CS or related degree and be eager to return to a full-time software role in 2027.