Note: The job is a remote job and is open to candidates in USA. LoginID provides identity verification, authentication, and cryptographically signed intent for secure digital transactions. The Chief AI Engineer will lead approximately 12 engineers across platform, infrastructure, SDKs, and frontend development while shaping the architecture and culture for an AI-native software delivery model. The role focuses on secure distributed systems, AI-driven development workflows, engineering standards, and organizational growth.
Responsibilities
- Defining the architecture of a highly secure, multi-region identity platform
- Designing an AI-native software development lifecycle from specification through deployment
- Establishing code quality, review, testing, auditing, and governance standards for AI-generated code
- Evaluating and implementing agentic development tools such as Claude Code, Codex, and emerging AI platforms
- Coaching engineers to operate at a higher level of abstraction through specification, architecture, review, and product definition
- Creating systems that increase delivery velocity while maintaining security and reliability
- Leading through change and helping engineers successfully adapt to new ways of working
- Building a culture of ownership, accountability, experimentation, and continuous improvement
- Transition from traditional software development workflows to an AI-native engineering model
- Create scalable processes for generating, reviewing, and shipping production-ready code
- Improve engineering velocity without sacrificing quality, compliance, or security
- Establish the technical foundation needed to support rapid company growth
- Develop engineers into stronger architects, reviewers, and technical decision makers
Skills
- • Experience leading a software engineering organization through a transition from traditional development practices to AI-driven software development
- • Deep software architecture expertise, including distributed systems, service boundaries, scalability, and long-term system design
- • Hands-on experience with AI coding and orchestration tools such as Claude Code, Codex, or similar platforms
- • Engineering leadership experience including hiring, coaching, mentoring, and organizational development
- • Strong technical judgment and the ability to evaluate AI-generated output with a high standard for quality and correctness
- • Experience operating in fast-paced environments with ambitious delivery goals
- • Startup experience, particularly Seed or Series A environments
- • Background in security, identity, authentication, cryptography, or payments
- • Experience with Kubernetes and large-scale distributed infrastructure
- • Familiarity with OAuth 2.0, OpenID Connect (OIDC), WebAuthn, and FIDO2 standards
- • Experience working in regulated or compliance-focused environments
Company Overview