Conversational AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🤠 Texas – Remote

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💵 $135k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

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TTEC Digital

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Customer Experience

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. • 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

• 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

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

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