AI Global Platform Engineer – Voice (Italia)

AI Global Platform Engineer – Voice (Italia)

16 set
|
Customer Analytics International
|
Italia

16 set

Customer Analytics International

Italia

The Mission in a Nutshell
Most companies are still building AI pilots on PowerPoint. We don’t. We were the first in Italy to deploy a voicebot into full enterprise production at scale. Today, top-tier global tech players and MBB consulting firms benchmark their conversational AI adoption against our platform.
We are looking for an AI Global Platform Engineer to design, build, and scale the technical backbone of our international voice and automation platforms. This is a high-ownership, hands-on role where your code will directly impact enterprise operations across Europe and Latin America.
Why This is More Than an Execution Role
If you are looking for a standard corporate ticketing system or a place to implement pre-decided roadmaps, this isn't it.
- We Bridge Research & Production: We study state-of-the-art AI, we test approaches that haven't been trialed yet, and we push what works into high-volume production. Quickly, without legacy drag.
- No Organizational Noise: Founded and led by former McKinsey, BCG, and Bain professionals, we operate as a high-caliber,



compact engineering and consulting boutique. Zero bureaucracy, zero corporate politics.
- Direct Architecture Ownership: You won’t be hidden behind layers of Project Managers. You will enter the rooms where global architectures are decided, working side-by-side with our top management and client stakeholders.

What You Will Do
- Core Platform Evolution: Develop and optimize our voicebot platform and its critical infrastructure: STT, TTS, telephony protocols, and advanced LLM orchestration.
- Enterprise AI Architecture: Design and deploy complex conversational architectures and robust RAG pipelines capable of handling real-world, high-volume enterprise constraints.
- Production-Grade LLM Engineering: Integrate and benchmark LLM APIs (OpenAI, Gemini, Claude, open-source models) focusing on production realities: latency minimization, cost optimization, and extreme reliability.
- End-to-End Automation: Build ente

📌 AI Global Platform Engineer – Voice (Italia)
🏢 Customer Analytics International
📍 Italia

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