Greetings from LTM!!

Hope you are doing well.

Please find the below attached details and job description for your reference. If interested, please share your updated resume and feel free to share any references that you may come across.

Note: Only Short joiners are preferred. • 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 contemporary 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.
• Bachelors 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 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 multi-tenant or BYOC deployment models

Regards,

Manasa Bolloju

[email protected]

Associate | Talent Acquisition.

📌 AI Enterprise Engineer (Pune)
🏢 LTM
📍 Pune