Artificial Intelligence Engineer

AI Engineering Lead Employment Type: Full-Time Location: Remote - Must be local to Bay Area, CA About the RoleWe are seeking an AI Engineering Lead to help design, build, and scale enterprise-grade B2B SaaS products with deep AI foundations in the healthcare space. This role is hands-on and builder-focused, requiring heavy experience designing and shipping AI-powered systems that are secure, scalable, and production-ready. Success in this role means owning AI-driven product architecture while collaborating closely across front-end, backend, and product teams in a fast-moving, high-growth environment.Key ResponsibilitiesLead the design and implementation of AI-powered application features used in enterprise B2B environmentsBuild and scale production-grade AI systems with a focus on reliability, security, and performanceWork hands-on with modern AI tooling and workflows (e.g., Claude Code, Cursor, agent frameworks)Architect systems that integrate AI capabilities into full-stack applications (front-end + backend)Partner closely with Product, Design, and Engineering leadership to translate complex business needs into AI-driven solutionsSet technical standards and best practices for AI development, experimentation, and deploymentMentor and guide engineers contributing to AI and application-layer developmentCollaborate with backend teams using Node.js and AWS to support scalable, secure AI workloadsRequired Qualifications8+ years of software engineering experience with significant hands-on experience building AI-powered systemsProven experience building and shipping AI-driven features in B2B enterprise applicationsStrong experience working with modern AI development tools (e.g., Claude Code, Cursor, AI copilots, agent-based workflows)Expertise designing secure, scalable systems for enterprise or regulated customersSolid experience with cloud platforms (AWS) supporting AI workloadsProficiency in full-stack development with strong front-end experience (React, TypeScript)Experience integrating AI capabilities into production user-facing applicationsStrong communication skills and comfort operating in startup or high-growth environmentsPreferred QualificationsExperience working in healthcare technology or regulated environments (HIPAA)Deep experience with AI-driven user experiences or data-intensive applicationsBackground building internal AI tooling, automation, or developer platformsExperience balancing experimentation with production hardening for AI systemsPrior ownership of system scalability, performance, or observability in AI-enabled products