GenAI Full Stack Developer

About the role

We are seeking a Senior AI Enterprise Engineer with 12+ years of hands-on software engineering experience building and shipping production backend distributed or platform systems. The ideal candidate will own complex components end-to-end and deliver with autonomy.

Responsibilities

• Own the design and delivery of significant components or subsystems end-to-end with minimal oversight.
• Design, develop, and integrate backend services and features that extend Qira into an enterprise-ready platform.
• Implement enterprise foundation capabilities: identity and access integration (SSO, SAML 2.0, OAuth, RBAC, MFA), audit logging, and data segmentation.
• Build and extend the Enterprise Admin Console so IT administrators can configure identity connectors, agents, policies, and usage in one place.
• Build integrations that connect Qira to enterprise systems such as corporate identity providers, workflow automation platforms, and enterprise knowledge sources.
• Contribute to enterprise deployment and portability work, including BYOC, AWS, Azure, GCP, infrastructure as code, and data residency requirements.
• Lead design and code reviews, set engineering patterns, and mentor other engineers on the team.
• Make and document architecture decisions within your area, balancing speed with enterprise security and maintainability.
• Debug complex multi-layer workflows spanning application, service, and platform components; perform performance analysis and optimization.

Requirements

• 12+ years of hands-on software engineering experience building and shipping production backend distributed or platform systems.
• Strong programming experience in one or more modern backend languages such as Rust, TypeScript, or Node.js.
• Good to have: Strong programming experience in Python, Go, or Java.
• Solid understanding of software fundamentals: APIs, services, data stores, concurrency, and cloud deployment.
• Experience leading technical design and mentoring other engineers.
• Bachelor’s degree in engineering, computer science, or a related technical field, or equivalent experience.

Preferred Qualifications

• Familiarity with enterprise identity and authentication standards (SSO, SAML 2.0, OAuth, RBAC, MFA) and tools such as WorkOS or Auth0.
• Experience with AI/ML systems, LLM-based applications, or intelligent workflows.
• Hands-on experience with the team’s core toolchain (Cursor, Linear, GitHub) and fluency in AI-assisted development workflows.
• Experience with cloud platforms, infrastructure as code, and multi-tenant or BYOC deployment models.

Skills

• AI/ML systems
• LLM-based applications
• Rust
• TypeScript
• Node.js
• Python, Go, or Java (preferred)
• Enterprise identity and access integration (SSO, SAML 2.0, OAuth, RBAC, MFA)
• Cloud platforms (AWS, Azure, GCP)
• Infrastructure as code
• Debugging and performance optimization