Software Engineering Intern - Spring

## The Role We're looking for Software Engineering Interns to join Abridge's Engineering team for a 3-month internship program in Spring 2027, with the possibility of extension. You'll collaborate with our engineering team to build and ship real-world features that translate cutting-edge language model capabilities into dependable clinical systems. With mentorship and guidance, you'll gain hands-on experience designing, coding, and releasing AI-powered software that makes a meaningful impact on clinicians' workflows. ## What You'll Do - Design and build end-to-end features, enhancing our existing systems and contributing to agentic LLM workflows (retrieval pipelines, structured tool use, chained LLM calls) - Fix user-facing bugs and issues, and make quality-of-life improvements across our backend and frontend systems - Get hands-on with evaluation frameworks that measure accuracy, robustness, and clinical reliability - Help prototype with new models, prompting techniques, and open-source orchestration tools (LangChain, LlamaIndex, etc.) - Develop a strong user-centric mindset, building empathy for Abridge's clinicians and the challenges they face - Collaborate across cross-functional product teams — design, product, machine learning, and infrastructure — to ship features to our customers - Receive guidance from an experienced software engineering mentor, and collaborate one-on-one with teammates within your pod ## What You'll Bring - Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field - A strong interest in pursuing a full-time software engineering role in 2027 — high-performing interns are eligible to receive a return offer - AI tooling is already part of how you work — you use it to write, debug, and learn faster, and you know when to trust it vs. verify - Passion for and understanding of Abridge's mission - A curious, adaptable, and proactive mindset, with a desire to learn and grow in a fast-paced startup environment - A collaborative, low-ego mindset — we move fast, and we need team players who are eager to contribute wherever needed