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AI Experience Engineer – Conversational AI
Upgrade, Inc.. Own the full lifecycle of customer journeys with Upgrade's AI agent across chat, voice and email .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing customer journeys using AI agents, with a strong focus on API integration, compliance, and performance monitoring. Proficient in frontend software engineering, particularly in JavaScript/TypeScript, with a customer-centric approach to problem-solving and operational excellence.
Highest-signal resume keywords
Frontend Software EngineeringJavaScript/TypeScriptAPI IntegrationConversational AICustomer Journey Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
API SpecsRESTGraphQLTest SetsSimulationsRegression GatesMonitoringLog AnalysisIncident ResponseEvaluation Building
Soft Skills
Clear WritingCollaborationCustomer MindsetProblem-Solving
Tools & Technologies
Agent StudioGenesysSumoLogicGrafana
Industry Keywords
Conversational AICustomer SatisfactionComplianceOperational ProceduresNon-Deterministic Systems
Tech Stack
Tools & technologiesGrafanaGraphQLJavaScriptTypeScript
About the role
Key responsibilities & impact- Own the full lifecycle of customer journeys with Upgrade's AI agent across chat, voice and email
- Design and build Sierra journeys in Agent Studio from operations discovery through production rollout
- Review transcripts, recordings and analytics weekly; identify failures or transfers and ship fixes to journey logic, instructions and knowledge
- Map unhappy paths and ensure correct answers or clean human handoffs
- Own containment and CSAT targets, run staged rollouts from 1% to 100%, and prioritize improvements
- Partner with product groups across Personal Loans, Card, BNPL and Deposits to scope and maintain journeys and define required APIs
- Apply tiered authentication, step-up verification, compliance language and hallucination/off-policy guardrails
- Design Genesys human-agent transfers with accurate summaries and authentication context
- Build simulation and regression suites for journey changes
- Monitor latency, errors and drop-offs in SumoLogic and Grafana and own alerts
- Tune voice experiences, including latency, filler phrases, interruptions, personality and tone
- Act as Upgrade's technical owner for the Sierra relationship, escalating platform issues and shaping roadmap requests
Requirements
What you’ll need- 3–5 years of Frontend Software Engineering experience, or equivalent experience in Solutions Engineering, Conversational AI or Technical Product roles
- Working knowledge of how LLM agents behave: instructions, tool calls, knowledge retrieval, and where each one fails
- Experience building evaluations for non-deterministic systems: test sets, simulations, LLM-as-judge, regression gates
- Enough technical depth to read API specs, work with backend engineers on REST and GraphQL integrations, and reason about authorization and permission scopes
- Working knowledge of JavaScript/TypeScript, with the ability to build and maintain coded journeys and integrate APIs within conversational AI platforms.
- Product and customer mindset: you understand ops procedures, you read transcripts, care about tone, and measure success by whether the customer's problem got solved
- Ownership in production: rollouts, monitoring, log analysis and incident response
- Clear writing and the ability to work with non-engineers in operations, compliance and legal
Benefits
Comp & perks- Competitive salary ($140K-$180K CAN)
- Stock option plan
- Paid coverage of medical, dental and vision insurance
- Flexible PTO
- Opportunities for professional growth and development
- Paid parental leave
- Health & wellness initiatives