Teams at Caylent

Own and manage client relationships, make architectural decisions, run discovery and stakeholder interviews, deliver software or automations, and contribute intellectual property back to the practice.

Build and deploy production AI systems, cloud-native applications, workflow automations, and LLM-enabled products within client environments. Own assigned workstreams, contribute to discovery and architecture, translate ambiguous problems into deliverables, manage risks, and transfer sustainable solutions to clients. Collaborate with technical and business stakeholders, rapidly prototype solutions, and contribute reusable patterns to the AI services practice.

Own client accounts from discovery through close, independently leading stakeholder interviews, architecture, technical delivery, scope management, and expansion opportunities. Build production-grade AI systems, cloud-native applications, backend platforms, or business automations, while ensuring solutions are documented, maintainable, and transferable. Senior engineers communicate effectively with technical teams and executive stakeholders, make autonomous decisions, manage delivery quality, and contribute reusable practices to the AI services organization.