We're on a mission to make healthcare more accessible and human with voice AI technology. Our platform enables healthcare organizations and their staff to automate phone-based workflows typically handled by humans. We partner with health care organizations to reduce their operational expense and eliminate administrative burden.
Our founders bring a blend of clinical experience and technical expertise. Ryan is a Stanford/Harvard trained physician formerly on the founding team of Two Chairs and Ophelia (W20). Jeff formerly worked on voice AI at Amazon Alexa and ML projects at Citi/Salesforce.
We have incredible traction and a healthy pipeline of health systems to grow into. We are well funded and backed by top investors, including Y Combinator.
We're looking for an exceptional full-stack engineer to join our mission of improving healthcare with voice AI technology. You'll build systems to enable natural conversations between humans and AI. This is new territory – you'll work on unsolved problems and find novel ways to automate healthcare workflows using language models. As an early member of our team, you'll help define our technical approach and the products we create. Your work will become the basis for systems that change how patients and healthcare providers interact.
WHY JOIN US
- Impact: Be a key part of building technology that makes healthcare more accessible, affordable, and human for millions.
- Team: Join a founding team with deep technical and clinical expertise. We've worked at leading tech and healthcare companies like Ophelia, Two Chairs, and Amazon.
- Growth: Join at an inflection point - shape our technical foundation and culture while taking ownership of major projects.
- Technology: Work with cutting-edge AI tech including advanced language models, voice AI, knowledge graphs. Learn and build with the latest generative AI stack.
REQUIREMENTS
- Exceptional full-stack engineering skills with 1-4 years of experience
- Versatile skill set across backend, frontend, research, and product
- Passion for using language models and voice technologies in healthcare
- Self-starter mindset and drive to deliver end-to-end solutions
- Product-minded with a keen design sense, able to craft intuitive UX/UI
- Thrives in intense, collaborative, in-person work environments; aligns with our mission
INTERESTING TECHNICAL CHALLENGES
- Tailor AI language models to understand and process medical data
- Build reliable systems for seamless real-time AI conversations
- Ensure AI models are safe and dependable in healthcare settings
- Create self-improving AI models that learn from new data over time
- Help healthcare stakeholders understand AI decision-making processes
TECH STACK
- Backend: NodeJS, Typescript
- AI/ML: OpenAI, Anthropic, LlamaIndex, Scikit, ElevenLabs, Deepgram
- Infrastructure: Supabase, PostgreSQL, Kubernetes
- Frontend: React
BENEFITS
- Healthcare: We cover 100% of medical, dental and vision with several plan options
- Equity: We offer generous equity grants for joining early in our journey
At each stage, we decide within 24hrs and update you shortly after.
- Intro (15min) [Virtual]: Informal chat for you to learn more about the role. We'll ask for details on past projects. We want to know that you can code and speak about your work clearly. You're welcome to ask lots of questions about whether working at Clarion makes sense for you.
- Experience (30min) [Virtual]: We'll dive into the details of your most technically complex or challenging projects. Our goal is to ensure you've worked on sufficiently challenging projects to ensure you'll be successful if you join us full-time. We'll also reserve 5-10min to answer any questions you have about Clarion.
- Coding (1hr) [Virtual]: You'll meet with our CTO. He'll ask you 1-2 coding questions in your language of preference. We'll test how you write, test, and debug solutions, and identify tradeoffs.
- On-site (Co-working half-day) [In-Person]: You'll interview with each co-founder. This will be a deeper dive into your technical abilities and overall fit. Each interview is 1hr, 45min for our questions, and 15min for yours.
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