3 months ago
Remote, ArgentinaSenior
Responsibilities
- Build AI-native self-service experiences using Amazon Connect AI agents, Amazon Q in Connect, Amazon Bedrock, and Claude.
- Engineer prompts, tool-calling integrations, authentication flows, guardrails, voice fallback behavior, and multilingual conversational experiences.
- Build Amazon Connect contact flows, Cases and Tasks solutions, routing, Contact Lens configurations, outbound campaigns, workforce-management integrations, analytics data lakes, and QuickSight dashboards.
- Migrate legacy contact-center platforms including Avaya, Genesys, Cisco, Oracle, and Salesforce to Amazon Connect.
- Develop Agent Workspace and CRM integrations plus serverless event-driven backends and customer-journey orchestration.
- Author infrastructure as code, CI/CD pipelines, automated tests, monitoring, alerting, rollout runbooks, and production incident-response processes.
- Apply accessibility, security, encryption, and compliance baselines to delivered systems.
- Collaborate directly with customers through technical working sessions, demos, pairing, knowledge transfer, architecture decisions, and implementation support.
- Review code, mentor junior and mid-level engineers, contribute reusable internal assets, and support proof-of-concept demos and technical estimates.
Requirements
- 7+ years of hands-on software engineering experience, including 2+ years building on Amazon Connect or comparable enterprise-scale CCaaS platforms.
- Strong Amazon Connect experience across contact flows, routing, Cases and Tasks, Contact Lens, Customer Profiles, Streams API, and the Connect data and analytics stack.
- Hands-on conversational and generative AI experience with Amazon Lex, Amazon Bedrock, Amazon Q in Connect, or equivalent, including prompt engineering and tool calling.
- Strong TypeScript, Node.js, and Python skills, production React experience, and solid AWS serverless engineering experience.
- Infrastructure-as-code proficiency with AWS CDK or Terraform, including multi-account deployment patterns.
- Experience shipping and supporting production systems with disciplined testing, observability, and full-stack incident debugging.
- Clear customer-facing communication skills, including demonstrating work, explaining trade-offs, and leading working sessions with client engineers.
- Preferred qualifications include AWS certifications, contact-center migration experience, regulated-industry experience, contact-center operations fluency, AI observability or accessibility engineering experience, and consulting or client-delivery experience.
Benefits
- 100% remote work with a global team.
- Generous holidays, flexible PTO, and competitive phantom equity.
- Paid exams and certifications, peer bonus awards, professional development planning, and annual learning and development stipend.
- State-of-the-art laptop, tools, and equipment and office stipend.
- Pay in USD.
Categories
About Caylent
Caylent provides cloud and AI consulting and managed services for organizations building on AWS, including migration, cloud-native application development, data and analytics, DevOps, and security. It operates as a professional services and managed services provider, with specialized work in generative and agentic AI and the Anthropic Claude ecosystem. Founded in 2015 and headquartered in Irvine, California, Caylent is privately held and backed by Gryphon Investors.