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