AI Enterprise Engineering Lead

What you'll do

• Own significant components from design through production; build and integrate backend services and enterprise features.
• Develop enterprise identity, administration, audit, data-segmentation, system-integration, and deployment capabilities.
• Lead design and code reviews, mentor engineers, document architecture decisions, and optimize complex workflows.

What they ask for

• 8+ years of hands-on software engineering experience building and shipping production backend, distributed, or platform systems.
• Experience owning complex components end to end with autonomy, and leading technical design and mentoring engineers.
• Strong programming experience in one or more modern backend languages; solid understanding of APIs, services, data stores, concurrency, and cloud deployment.
• Bachelor’s degree in Engineering, Computer Science, or a related technical field, or equivalent experience.

Nice to have

• Experience with enterprise security and compliance, identity standards, AI/ML or LLM applications, cloud platforms, infrastructure-as-code, or multi-tenant/BYOC deployments.
• Familiarity with Cursor, Linear, and GitHub; AI-assisted development workflows; 0-to-1 product experience; or a Master’s degree in Engineering or Computer Science.

Pay

$150,000 - $180,000 USD base salary; 152,000–233,105 USD annual compensation (type not specified)

Tools

TypeScript/Node.js, Python, Go, Java, Rust, AWS, Azure, GCP, Cursor

AI focus

Extends Qira, a cross-device Personal AI platform, into an enterprise-ready platform; preferred experience includes AI/ML systems, LLM-based applications, or intelligent workflows.