Conversational AI Engineer

TTEC Digital

Conversational AI Engineer designing and optimizing agentic workflows for TTEC Digital. Bridging digital discovery and customer operations, utilizing Code Agents and multi-agent applications.

Posted 7/13/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $135,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing customer-facing agentic workflows using Python and TypeScript, with a strong focus on conversational AI solutions and integration with cloud technologies. Proficient in utilizing tools like CX Agent Studio and Google’s GECX Code Agent tooling to enhance customer experience through advanced conversational frameworks.

Highest-signal resume keywords

Python ProgrammingTypeScript DevelopmentConversational AI SolutionsCX Agent StudioDialogflow CX

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Programmatic SDKsJSON Payload HandlingRESTful APIsCloud-Hosted WebhooksPrompt EngineeringBigQueryGoogle Cloud LoggingStreaming Voice AgentsTelephony IntegrationCommand-Line Interfaces

Tools & Technologies

CX Agent StudioGECX Code Agent ToolingGit-Based WorkflowsCLI Workflows

Industry Keywords

Customer ExperienceAgentic WorkflowsVirtual AgentsProgrammatic AI WorkflowsLow-Latency Audio-to-Audio

Tech Stack

Tools & technologies

BigQueryCloudJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Design, deploy, and optimize next-generation, customer-facing agentic workflows.
Work on a unified platform bridging digital discovery and customer operations.
Use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications.
Implement Code Agents leveraging programmatic SDKs.
Write custom Python/TypeScript tool callbacks.
Utilize localized CLI workflows to structure, lint, test, and sync complex agent hierarchies.

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering field, or equivalent practical experience.
3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.
Strong proficiency in Python or TypeScript/Node.js, with hands-on experience handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooks.
Experience utilizing Git-based developer workflows and command-line interfaces (CLIs) for software versioning and deployment.
Hands-on experience building with Google’s GECX Code Agent tooling (e.g., cxas-scrapi workspace/SDK, Python-based agent foundries).
Good technical understanding of Dialogflow CX, CX Agent Studio, or similar advanced, stateful conversational frameworks.
Experience deploying streaming, low-latency audio-to-audio (A2A) voice agents and integrating with telephony (SIP/RTP) or CCaaS partner environments.
Solid grasp of prompt engineering safety protocols, blocklists, and programmatic fallback behaviors (e.g., before_model_callback or after_tool_callback hooks).
Experience with BigQuery or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and build data-driven performance metrics.

Benefits

Comp & perks

Medical, dental, vision
tax-advantaged health care accounts
financial and income protection benefits
paid time off (PTO) and wellness time off.