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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building software integrations and automation solutions, with a strong focus on conversational AI and workflow experiences. Proficient in utilizing Python, Node.js, TypeScript, and various APIs to create technical prototypes and enhance customer experiences.
Highest-signal resume keywords
Python ProgrammingNode.js DevelopmentTypeScript DevelopmentConversational AI ExpertiseAPI Integration
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentIntegration AutomationData TransformationTesting and DebuggingWorkflow AutomationReal-Time AnalyticsSecurity ControlsObservability PracticesTechnical DocumentationVoice-Agent Prototyping
Soft Skills
Strong Communication SkillsCustomer EngagementCross-Functional Collaboration
Tools & Technologies
SalesforceServiceNowCisco WebexIVR PlatformsCloud PlatformsOAuthEvent-Driven IntegrationsServerless Workflows
Industry Keywords
CCaaSCPaaSCRMContact-Centre OperationsCustomer-Experience Technology
Tech Stack
Tools & technologiesCloudJavaScriptNode.jsPythonServiceNowTypeScript
About the role
Key responsibilities & impact- Translate customer use cases and solution designs into technical build plans and working prototypes
- Build integrations using Python, Node.js, TypeScript, REST APIs, webhooks, JSON, authentication, and enterprise platforms
- Configure and develop conversational AI and workflow experiences using Webex AI capabilities and Webex AI Agent Studio
- Connect AI experiences to Salesforce, ServiceNow, CRM platforms, contact-centre systems, knowledge sources, and enterprise APIs
- Develop use cases involving AI agents, voice experiences, retrieval-augmented generation, workflow automation, and real-time analytics
- Create customer demonstrations, technical prototypes, pilots, and proof-of-concept solutions
- Map data flows, system dependencies, events, actions, error conditions, and human hand-offs
- Apply controls for security, privacy, access, observability, testing, and operational reliability
- Test integrations and AI experiences for accuracy, latency, resilience, usability, and escalation
- Instrument solutions to measure usage, quality, adoption, and business outcomes
- Troubleshoot integration, configuration, data, and AI behaviour issues
- Participate in customer discovery sessions, technical workshops, design reviews, and pilot readouts
- Work with AI Solution Consultants and FDEs to refine requirements and prepare solutions for production deployment
- Capture product gaps and implementation lessons with technical detail and customer impact
- Document reusable integrations, configuration patterns, use cases, demonstrations, and troubleshooting methods
- Contribute to internal enablement, solution libraries, reference architectures, and pre-built assets
Requirements
What you’ll need- 5+ years of experience building software, integrations, automation, or enterprise technology solutions; demonstrated technical ability may substitute for tenure
- Hands-on experience with Python, Node.js, TypeScript, or a comparable programming language
- Experience with APIs, webhooks, authentication, data transformation, and system integrations
- Familiarity with Git, debugging, testing, logging, and basic software-development practices
- Familiarity with at least one major LLM ecosystem or AI application-development framework
- Understanding of conversational AI, prompt design, retrieval-augmented generation, agents, or workflow automation
- Ability to read technical documentation and learn unfamiliar platforms quickly
- Experience working with customers, internal stakeholders, or cross-functional technical teams
- Strong written and verbal communication skills
- Willingness to travel approximately 15 to 25 percent
- Experience with CCaaS, CPaaS, CRM, contact-centre operations, or customer-experience technology
- Experience with Salesforce, ServiceNow, IVR platforms, call-routing systems, knowledge bases, or enterprise data platforms
- Familiarity with Cisco Webex Customer Experience products and services
- Experience building conversational or voice-agent prototypes
- Experience with cloud platforms, event-driven integrations, OAuth, queues, or serverless workflows
- Familiarity with observability, automated testing, security controls, and production-readiness practices
- Experience creating technical documentation, implementation guides, demonstrations, or reusable code assets
Benefits
Comp & perks- Worldwide network of doers and experts
- Opportunities to grow and build
- Collaborative team environment
- Continuous learning opportunities
