Software Engineer, Abridge
Early Career
$157-184k
Plus Equity
5 days a week in office
Powering deeper understanding in healthcare through purpose-built AI
Be an early applicant
Powering deeper understanding in healthcare through purpose-built AI
201-500 employees
Be an early applicant
$157-184k
Plus Equity
5 days a week in office
201-500 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Summarising key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.
This is where Abridge comes in; it has developed a HIPAA-compliant AI platform that transcribes, structures, summarises, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.
Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience. Its unique focus, then, is part of the reason why it enjoyed two impressive rounds of funding in 2025 alone.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Jun 2025
$300m
SERIES E
Feb 2025
$250m
SERIES D
Total funding: $757.5m
Company benefits
- Unlimited PTO, plus 12 national holidays
- 16 weeks paid parental leave, for all employees
- Flexible working hours — we care more about what you accomplish than what specific hours you’re working
- Remote work environment
- Equity for all new employees
- 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
Company HQ
SoMa, San Francisco, CA
Leadership
Shivdev Rao
(Co-Founder & CEO)Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.
Sandeep Konam
(Co-Founder & CTO)Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.
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