GenAI Full Stack Developer

Role: GenAI Full Stack Developer

Location: Remote

Mode of work: Remote

Experience: 12+ years

Primary skills: AI/ML systems, LLM, Rust, Typescript, Node.JS APIs Implement enterprise foundation capabilities

Job Description

Sr AI Enterprise Engineer with 12 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 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 multilayer 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 teams 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 multitenant or BYOC deployment models.