About us: We are Lighten, a seed-stage healthcare AI startup that's determined to solve fundamental challenges in driving patient insights from healthcare data. Our founding team comprises former Stanford PhDs and postdocs in clinical informatics and AI, clinicians and healthcare industry veterans. We are well funded by top-tier institutional investors and angels including the Founders of One Medical and Datavant.
Why you should join us: We are on a mission to reimagine the value of healthcare data to improve patient outcomes. We are an extraordinarily committed team that values integrity, grit, accountability, generosity, and most fundamentally, being a good human. We are developing frontier LLM-enabled deep technology that pushes the boundary of what's possible, with long-term defensibility. Our goal is to accelerate clinical evidence generation and bring life-saving drugs to patients' hands faster.
We offer competitive salary and employee equity options, 3% company-sponsored 401k contributions, and comprehensive medical, dental and vision insurance for employees and their families.
Founding Full-stack Engineer (Senior or Staff level)
You can expect to:
- Own the architecture, design, development and operations of server-side logic, databases, APIs, and other backend processes, and contribute to launching our first product from 0 to 1 that can handle heterogeneous sources of healthcare data at scale.
- Prototype, optimize, and maintain scalable back-end services that will power new ML and LLM model powered development workflows
- Develop responsive and user-friendly web interfaces that integrate with server-side logic and APIs
- Collaborate with UI/UX designers to translate design mockups into functional frontend components.
- Optimize web applications for performance, speed, and scalability, ensuring fast load times and smooth user interactions. Write clean, well-structured, and maintainable code following best practices and coding standards. Conduct code reviews, provide constructive feedback, and collaborate with team members to improve code quality and maintainability.
- Design extensible and testable interfaces between internal services including the underlying storage and data models
- Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and product
We look for:
- Proficiency in Python, and extensive experience in API design and development (FastAPI), database technologies (e.g., Postgres, MySQL) and CI/CD.
- Experience in frontend development, with proficiency in React.js/Typescript.
- Solid understanding of responsive web design principles and best practices.
- Knowledge of cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Strong understanding of code versioning tools, such as Git.
- Experience in delivering distributed and ML systems and services in a production setting for cloud-native applications
- Experience with distributed compute frameworks and data processing pipelines Ability to design and build efficient scalable data storage, compute, and retrieval systems for AI/ML tasks
- Preferably having experience working with ML systems and foundation models (e.g. large language models) and enterprise software products for machine learning and/or data science applications
- Located in the Bay Area and can meet with the team regularly in Palo Alto.
We are proud to be an Equal Employment Opportunity employer and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We embrace diversity and provides equal employment opportunities to all employees and applicants for employment. We prohibit discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.