Note: The job is a remote job and is open to candidates in USA. Galent is seeking a Senior AI Enterprise Engineer with extensive experience in software engineering and enterprise platform capabilities. The role involves designing and delivering complex components, integrating backend services, and contributing to enterprise deployment initiatives.
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 including identity and access integrations, 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 from a centralized interface
- Develop integrations that connect Qira to enterprise systems such as identity providers, workflow automation platforms, and enterprise knowledge sources
- Contribute to enterprise deployment and portability initiatives, including BYOC environments, AWS, Azure, GCP, infrastructure as code, and data residency requirements
- Lead technical design and code reviews
- Establish engineering best practices and mentor team members
- Make and document architecture decisions while balancing speed, security, scalability, and maintainability
- Debug complex multi-layer workflows spanning application, service, and platform components
- Perform performance analysis, troubleshooting, and optimization
Skills
- AI Architecture Validation
- Node.js
- TypeScript
- Strong programming experience in one or more modern backend technologies such as Rust, TypeScript, or Node.js
- Solid understanding of software engineering fundamentals including APIs, services, data stores, concurrency, and cloud deployment
- Experience leading technical design initiatives and mentoring engineers
- Experience building and supporting production backend, distributed, or platform systems
- Strong architecture and enterprise platform development expertise
- Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience
- 10+ years of hands-on software engineering experience
- Proven ability to independently deliver complex technical solutions
- Strong expertise in backend system design, development, and enterprise integration architectures
- Java
- Python
- Go
- Familiarity with enterprise identity and authentication standards including SSO, SAML 2.0, OAuth, RBAC, and MFA
- Experience with tools such as WorkOS or Auth0
- Experience with AI/ML systems, LLM-based applications, or intelligent workflow platforms
- Hands-on experience with Cursor, Linear, and GitHub
- Experience with AI-assisted software development workflows
- Experience with cloud platforms, infrastructure as code, and multi-tenant or BYOC deployment models
Company Overview