Artificial Intelligence Engineer (Santa Clara)

AI Engineering Lead

Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. Employment Type: Full-Time Location: Remote - Must be local to Bay Area, CA About the Role We 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 Responsibilities Lead the design and implementation of AI-powered application features used in enterprise B2B environments Build and scale production-grade AI systems with a focus on reliability, security, and performance Work 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 solutions Set technical standards and best practices for AI development, experimentation, and deployment Mentor and guide engineers contributing to AI and application-layer development Collaborate with backend teams using Node.js and AWS to support scalable, secure AI workloads Required Qualifications 8+ years of software engineering experience with significant hands-on experience building AI-powered systems Proven experience building and shipping AI-driven features in B2B enterprise applications Strong 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 customers Solid experience with cloud platforms (AWS) supporting AI workloads Proficiency in full-stack development with strong front-end xsgimln experience (React, TypeScript) Experience integrating AI capabilities into production user-facing applications Strong communication skills and comfort operating in startup or high-growth environments Preferred Qualifications Experience working in healthcare technology or regulated environments (HIPAA) Deep experience with AI-driven user experiences or data-intensive applications Background building internal AI tooling, automation, or developer platforms Experience balancing experimentation with production hardening for AI systems Prior ownership of system scalability, performance, or observability in AI-enabled products