Member of Technical Staff (Early Career)

• 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
• Ou 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
• 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 evaluation frameworks that measure accuracy, robustness, and clinical reliability — including automated pipelines and human-in-the-loop review
• Contribute to backend and frontend systems across Abridge
• 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.)
• Contribute to monitoring and observability systems that keep our LLM workflows healthy in production
• Collaborate across ML, infrastructure, product, and clinical teams — and develop a genuine understanding of the users and clinicians we serve
• Learn from senior engineers and bring curiosity and fresh perspective to every problem

Benefits

• 16 weeks paid parental leave, for all employees
• Unlimited PTO, plus 12 national holidays
• Equity for all new employees
• Flexible working hours — we care more about what you accomplish than what specific hours you’re working
• Remote work environment
• Generous equipment budget for your home office setup ($1600)
• Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup

• 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
• 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
• Familiarity with LLM orchestration concepts (prompt chaining, tool use, retrieval) even if you haven’t yet used them in a production setting
• Collaborative, low-ego mindset — we move fast, and we need teammates who pitch in wherever needed
• Curiosity about model evaluation, failure modes, and what it actually takes to make an LLM system reliable