Software Engineer- Early Careers
About The Position
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.
Requirements
- 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 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
- Collaborative, low-ego mindset — we move fast, and we need teammates who pitch in wherever needed
Responsibilities
- 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
- 14 paid holidays
- flexible PTO for salaried employees
- accrued time off for hourly employees
- Medical, Dental, and Vision coverage for all full-time employees and their families.
- Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
- Generous paid parental leave for all full-time employees.
- Family Forming Benefits: Resources and financial support to help you build your family.
- 401(k) Matching
- Personal Device Allowance: Tax free funds for personal device usage.
- Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
- Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
- Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
- Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
- Competitive compensation and equity grants for full time employees.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
