Member of Technical Staff, Early Career at Abridge in SF Office

Job description

About Abridge Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for healthcare, Abridge connects patients, providers, payers, and life sciences companies. This year, the platform will support more than 100 million patient-clinician conversations across more than 300 of the largest and most complex health systems in the U.S. With deep workflow integration, the Abridge clinician intelligence platform has been validated to support encounters in 28+ languages across specialties and care settings. Abridge is setting the industry standard for the responsible deployment of Al across health systems with continual and transparent Al evaluation. Clinical decision support references and cites gold-standard sources of evidence, and features like Linked Evidence map AI-generated documentation to source data, helping clinicians quickly trust and verify the output. Abridge was awarded Best in KLAS for Ambient AI in 2025 and 2026, in addition to other accolades, including TIME Best Inventions of 2024 and 2025, CNBC Disruptor 2025, and Fast Company’s Most Innovative Companies 2025. We are a growing team of practicing clinicians, AI scientists, PhDs, creatives, technologists, and engineers working together to transform healthcare. We have offices located in San Francisco, New York, and Pittsburgh. The Role We're looking for early-career Software Engineers who are highly driven and passionate about making a real-world impact through AI for healthcare. You'll join a cross-functional team of researchers, clinicians, and engineers to help translate cutting-edge language model capabilities into dependable clinical systems. You'll be building AI-powered features that touch real clinical workflows, shipping production code, and growing fast in an environment where GenAI is at the center of everything we build. You will be given an unusual amount of responsibility and autonomy. You will be surrounded by people who want to do their best work. You will experience accelerated learning and career growth. You will have a path to become a future leader of the company. The journey will be demanding but rewarding. What You'll Do Contribute to backend and frontend systems across Abridge Shift projects, tackling a wide variety of challenges as you grow and upskill at a startup operating at scale Collaborate across ML, infrastructure, product, and clinical teams — and develop a genuine understanding of the users and clinicians we serve Contribute to evaluation frameworks that measure accuracy, robustness, and clinical reliability — including automated pipelines and human-in-the-loop review Think with an agent-first approach. Continuously learn and relearn agentic coding. Fine-tune your judgment on where the human in the loop is critical. Help prototype with new models, prompting techniques, and open-source orchestration tools (LangChain, LlamaIndex, etc.) Build and iterate on agentic LLM systems — including retrieval pipelines, structured tool use, and chained LLM workflows — as part of a collaborative engineering team Contribute to monitoring and observability systems that keep our LLM workflows healthy in production Learn from senior engineers and bring curiosity and fresh perspective to every problem What You'll Bring A degree in CS or a related field, or equivalent experience (projects, bootcamp, open source — we care about what you can build not where you learned it) Hands-on GenAI experience — through coursework, personal projects, internships, or hackathons. You've integrated an LLM API, built a RAG pipeline, experimented with agents, or shipped something AI-powered and can speak to what you learned Familiarity with LLM orchestration concepts (prompt chaining, tool use, retrieval) even if you haven't yet used them in a prod