Conversational AI Engineer – Google, GECX, Code Agents

🔥 0 minutes ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• Design, deploy, and optimize next-generation customer-facing agentic workflows. • Build and configure modular, hierarchical multi-agent networks using CX Agent Studio canvas and programmatic Code Agents. • Write specialized backend logic, data transformation scripts, and custom Python or TypeScript tool callbacks. • Run automated code-first developer workflows using uv environments and the cxas CLI, including structural and semantic linting. • Author and maintain structured XML-like agent instructions with custom tool hooks and sub-agent routing. • Integrate Code Agents with databases, product catalogs, CRMs, and CCaaS networks such as Genesys and Avaya via MCP or secure OpenAPI webhooks. • Automate golden-scenario test cases and simulation evaluations for CI/CD, preventing hallucinations and conversational regressions before production synchronization. • Bridge digital discovery through Google Search and Maps with customer operations across chat, voice, and retail/commerce touchpoints.

🎯 Requirements

• 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.