Sr. AI Enterprise Engineer

Job Title : Sr. AI Enterprise Engineer

Location : Remote

Contract

Job Description

• Sr. AI Enterprise Engineer with 10+ years of hands-on software engineering experience building and shipping production backend, distributed, or platform systems.
• Demonstrated ability to own complex components end to end and deliver with autonomy.
• MUST have : Strong programming experience in one or more modern backend languages as Rust, TypeScript/Node.js.
• GOOD to have: Strong programming experience in one or more modern backend languages as Python, Go, 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.
• 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, 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.

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, and GitHub) is highly preferred, along with fluency in AI-assisted development workflows.
• Experience with cloud platforms, infrastructure-as-code, and multi-tenant or BYOC deployment models.

Skills:

Mandatory Skills : Node.js, TypeScript



Good to Have Skills : Java, Python