Member of Technical Staff, Early Career

Job summary

Responsibilities

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…

• 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.

What they're looking for

• 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…
• Familiarity with LLM orchestration concepts (prompt chaining, tool use, retrieval) even if you haven't yet used them in a production setting
• 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
• Curiosity about model evaluation, failure modes, and what it actually takes to make an LLM system reliable

Tech stack

• LangChain
• LlamaIndex
• RAG