
Senior Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Develop AI-driven self-service solutions utilizing Amazon Connect AI agents, Amazon Q in Connect, and Amazon Bedrock, featuring multi-agent orchestration and human escalation paths.
• Design and engineer prompts and tool-calling integrations at a production scale.
• Implement barge-in handling, fallback strategies, and error recovery for voice AI systems.
• Enhance inference cost and latency through careful model selection, prompt caching, and token budgeting.
• Assess AI agent performance utilizing observability tools and CloudWatch.
• Create conversational experiences with intent-based NLU, multilingual capabilities, and SSML-optimized voice interactions.
• Construct Amazon Connect contact flows that integrate AI agents, Lambda business logic, Customer Profiles, and data-driven routing.
• Implement solutions for Amazon Connect Cases and Tasks, including SLA/TAT monitoring, approval workflows, and migrations from legacy case systems.
• Configure Contact Lens for sentiment analysis, summary generation, category rules, and quality management.
• Execute routing, outbound campaigns, workforce management integrations, analytics data lakes, and QuickSight dashboards.
• Facilitate migrations from Avaya, Genesys, Cisco, Oracle, and Salesforce to Amazon Connect.
• Develop Agent Workspace experiences utilizing the Amazon Connect Streams API and CRM integrations.
• Create serverless, event-driven backends using AWS services.
• Design accessible components compliant with WCAG 2.1 AA and support VPAT/Section 508 documentation.
• Author infrastructure as code using AWS CDK, CloudFormation, or Terraform.
• Build CI/CD pipelines alongside automated unit, E2E, API, and integration test suites.
• Plan phased production rollouts and develop cutover runbooks.
• Implement monitoring and alerting systems and engage in production incident triage.
• Apply least-privilege IAM policies, DevSecOps scanning, and encryption standards.
• Collaborate directly with customer engineering teams through integrations, technical sessions, demos, and knowledge transfer.
• Contribute to architectural decisions, code reviews, engineering standards, mentoring, reusable practice assets, proof-of-concept demos, and presales estimates.
• Over 7 years of hands-on software engineering experience, including at least 2 years working with Amazon Connect or similar CCaaS platforms at an enterprise level.
• Proficient in Amazon Connect skills: contact flows, routing, Cases and Tasks, Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack.
• Practical experience with conversational and generative AI, including Amazon Lex and LLM-based development (Amazon Bedrock, Q in Connect, or equivalent), particularly in prompt engineering and tool calling.
• Strong programming skills in TypeScript/Node.js and Python; production-level experience with React; solid understanding of AWS serverless engineering (Lambda, EventBridge, API Gateway, DynamoDB, Step Functions, Kinesis).
• Expertise in infrastructure as code with AWS CDK or Terraform, including multi-account deployment strategies.
• Experience in launching and maintaining production systems, with a strong emphasis on testing discipline, observability instrumentation, and incident troubleshooting across the entire stack.
• Excellent communication skills with a customer-facing demeanor, capable of demonstrating work, explaining trade-offs, and facilitating working sessions with client engineers.
• Must possess current legal authorization to work in the country where this position is based; Caylent is unable to sponsor visa or work permit applications.
• Preferred: AWS certifications (Solutions Architect, Developer, or ML/Connect-relevant Specialty).
• Preferred: Experience in contact center migrations (Avaya, Genesys, Cisco, Oracle, or Salesforce to Amazon Connect).
• Preferred: Background in regulated industries such as government/public sector (Section 508, FedRAMP), healthcare (HIPAA), or financial services.
• Preferred: Familiarity with contact center operations, including WFM concepts, quality management, outbound compliance (TCPA), and customer experience KPIs.
• Preferred: Experience in AI observability or accessibility engineering.
• Preferred: Background in consulting or client-delivery environments.
• Comprehensive Medical Insurance for you and eligible dependents.
• 401k plan with company matching up to 4% and immediate vesting.
• Competitive phantom equity options.
• Company-issued laptop for work use.
• Dental and Vision insurance coverage.
• Term Disability Insurance for financial security.
• Term Life Insurance for peace of mind.
• Flexible Spending Account for health-related expenses.
• Equipment & Office Stipend to support your work environment.
• Annual stipend dedicated to Learning and Development.
• Unlimited Paid Time Off to promote work-life balance.
• 10 Paid Holidays to enjoy throughout the year.
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