Senior Full Stack Engineer (Artificial Intelligence)

Requirements A versatile full-stack engineer with 5+ years of experience building production applications at scale

• A self-driven problem solver who thrives in ambiguous environments and creates structure from chaos
• An innovative thinker who balances quick experimentation with production-quality implementation
• A technical leader comfortable making independent decisions while valuing team collaboration
• An effective communicator who can translate complex technical concepts for diverse audiences
• A pragmatic engineer who values shipping working solutions over perfect solutions
• Someone passionate about using technology to solve real healthcare challenges
• (Desirable) Experience designing and implementing AI/ML features in production environments
• (Desirable) Proven track record of optimizing LLM implementations and prompt engineering
• (Desirable) Background in healthcare technology or experience with HIPAA compliance

• Working with a dynamic team, you'll drive the development of AI-powered features that empower members to make informed healthcare decisions, ensuring they get the right care at the right time and price
• This role offers a unique blend of autonomy and innovation, where you'll transform cutting-edge AI concepts into production-ready solutions
• While AI is a key focus, you'll also architect and implement solutions that scale across our platform, combining intuitive technology with expert guidance to bring clarity and direction to our members' healthcare journeys
• Pioneer AI-driven solutions that enhance our care navigation and PBM services, directly improving healthcare outcomes for our members
• Lead rapid prototyping cycles, transforming concepts into production features within days or weeks, not months
• Architect and implement full-stack solutions using our modern tech stack (Node.js, React, TypeScript, Ruby, GraphQL, Postgres)
• Drive technical decisions independently while collaborating with cross-functional teams to ensure alignment with business goals
• Build and maintain scalable, production-grade systems that handle sensitive healthcare data with reliability and security
• Establish technical standards and best practices for AI integration across the platform
• Mentor team members and contribute to our engineering culture of innovation and excellence