Conversational AI Engineer - Google​/GECX & Code Agents

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).

• 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 Type Script 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: }) and sub‑agent routing syntax ({@AGENT: }).
• 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.

• 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/Type Script, 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., _callback or _callback hooks).
• Experience with Big Query or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and build data‑driven performance metrics.

• 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.