Teams at Caylent

Build and ship production-quality LLM applications, cloud-native systems, backend services, and business automations within client environments. Own assigned workstreams, translate ambiguous problems into deliverables, contribute to architecture and discovery sessions, communicate with technical and business stakeholders, identify risks, document solutions, and transfer working capabilities. Depending on specialization, support engineering teams or business functions with AI enablement and workflow automation.

Lead software engineering teams and complex client engagements delivering AI-first, cloud-native applications. Manage 5–8 technical direct reports, own requirements, architecture, backlogs, technical decisions, testing, risk escalation, and executive client communications. Partner with architects, engineers, project managers, sales, and stakeholders on discovery, delivery, modernization, integrations, and pre-sales. Mentor team members and contribute hands-on to AWS and AI-enabled software development.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.