Conversational AI Engineer - Google/GECX & Code Agents

Ttecdigital; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision

Health care accounts

Financial and income protection

PTO & wellness time off

Job summary

TTEC Digital is seeking a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX) to design, deploy, and optimize agentic workflows across a unified platform bridging digital discovery and front-line operations.

You will build modular agent networks, write Python/TypeScript tools, and integrate with CRM/CCaaS systems, while leveraging GECX tooling to ensure low-latency, safe, scalable conversations.

Qualifications

• Bachelor’s degree in computer science, engineering, or equivalent practical experience.
• 3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.
• Strong proficiency in Python or JavaScript/TypeScript, 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.

Responsibilities

• Develop Multi-Agent Architectures: Build and configure modular, hierarchical agent networks using CX Agent Studio and code agents.
• Write Custom Code Tools & Callbacks: Develop backend logic, data transformation scripts, and tool callbacks in Python or TypeScript.
• Leverage GECX Engineering CLI & Tooling: Run automated workflows using uv environments and cxas CLI for linting and llm validations.
• Design Generative Playbooks & Control Flows: Author structured agent instructions with hooks to Python tools and sub-agent routing syntax.
• Program Enterprise Integrations: Connect Code Agents to live databases, product catalogs, CRMs, and CCaaS networks via APIs and webhooks.
• Automate Quality & Evaluation (CI/CD): Script golden‑scenario tests and simulations to prevent hallucinations before prod.

Skills

Python

JavaScript/TypeScript

JSON payloads

RESTful APIs

Git workflows

CLIs

Dialogflow CX

Code Agent tooling

Education

Bachelor’s degree in computer science or equivalent practical experience

Tools

cxas CLI

cxas lint

cxas-scrapi workspace/SDK

Python-based agent foundries

BigQuery

Google Cloud Logging

Job description

At TTEC Digital, we coach clients to ensure employees feel valued and fully supported, because an amazing customer experience is an employee‑first process.

As a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX), you will design, deploy, and optimize next‑generation, customer‑facing agentic workflows on a unified platform that bridges the gap between digital discovery (via Google Search and Maps) and front‑line customer operations (chat, voice, and retail/commerce touchpoints).

Responsibilities

• Develop Multi‑Agent Architectures: Build and configure modular, hierarchical agent networks (Root/Steering agents and targeted Sub‑agents) using a combination of the CX Agent Studio canvas and programmatic Code Agents.
• Write Custom Code Tools & Callbacks: Program specialized backend logic, data transformation scripts, and custom tool callbacks in Python or TypeScript to extend agent capabilities beyond basic natural language prompts.
• Leverage GECX Engineering CLI & Tooling: Run automated code‑first developer workflows utilizing uv environments and the cxas CLI for structural static linting (cxas lint) and advanced semantic instruction validation (cxas llm‑lint).
• Design Generative Playbooks & Control Flows: Author and maintain structured, XML‑like agent instructions (, , ) that natively hook into custom Python tools ({@TOOL: custom_script}) and sub‑agent routing syntax ({@AGENT: specialized_subagent}).
• Program Enterprise Integrations: Seamlessly hook Code Agents into live databases, product catalogs, CRMs, and CCaaS networks (e.g., Genesys, Avaya) via Model Context Protocol (MCP) or secure OpenAPI webhooks.
• Automate Quality & Evaluation (CI/CD): Script programmatic golden‑scenario test cases and simulation evals using simulation frameworks to test multi‑turn agent trajectories, preventing hallucinations and conversational regressions before sync‑to‑prod.

Qualifications

• Bachelor’s degree in computer science, engineering, or equivalent practical experience.
• 3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.
• Strong proficiency in Python or JavaScript/TypeScript, 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

• Medical, dental, vision
• Tax‑advantaged health care accounts
• Financial and income protection benefits
• Paid time off (PTO) and wellness time off

Benefits are available to eligible employees and may vary based upon geographic location, work experience, education, and/or skill levels.