Artificial Intelligence Engineer

AI Engineering Lead Employment Type: Full-Time Location: Remote - Must be local to Bay Area, CA

Interested in this role You can find all the relevant information in the description below.

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 xsgimln strong front-end 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