Software Engineer, Generative AI

About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role We are looking for GenAI Software Engineers of all levels who are passionate about making a positive impact. You’ll collaborate closely with a cross-functional team of researchers, clinicians, and engineers to translate cutting-edge language model capabilities into dependable, real-world clinical systems. [... source excerpt omitted ...] rformance, conduct A/B tests against established baselines, and generate clear, actionable insights that inform deployment decisions. This high-impact role will own the end-to-end productionization of LLM workflows: deploying models into low-latency, high-uptime environments, building monitoring and observability systems, implementing post-processing guardrails, and managing workflow versioning. What You’ll Do Design and build agentic systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs. Collaborate with ML and infra engineers to scale and optimize agentic workflows, managing latency, context windows, [... source excerpt omitted ...] tier capabilities: rapidly prototype with new models and model capabilities, open-source tools, and novel prompting techniques. What You’ll Bring 3+ years of experience building production-grade systems, with 1–2+ years focused on LLM-powered or agentic products. Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines). Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool-use, or agentic workflows. Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, runnin