Artificial Intelligence Engineer
Il y a 1 jour
Brussels, Brussels-Capital, Belgique
Rapinno Tech Solutions GmbH
Temps plein
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Required technical skills
• Azure AI Foundry — projects, agent service, model catalogue, prompt flow, evaluations and deployment
• Azure OpenAI — GPT model families, function/tool calling, fine-tuning, prompt engineering
• Azure AI Speech — real-time STT/TTS, custom speech models, custom neural voice, speaker recognition, diarisation
• Azure AI Search, vector databases, embeddings and hybrid retrieval
• Conversational AI platforms — Copilot Studio, Azure Bot Service, Language Understanding / CLU
• Agentic frameworks — Semantic Kernel, LangGraph, AutoGen, MCP or equivalent
• Strong Python; REST APIs, FastAPI, microservices, async and streaming architectures
• Azure platform services — Functions, App Service, AKS, API Management, Event Hub, Service Bus, Key Vault, Entra ID
• Azure DevOps / GitHub Actions, CI/CD, containerisation, infrastructure as code
• Monitoring and observability using Azure Monitor, Application Insights and AI evaluation tooling Domain and use-case experience
• Proven delivery of customer care / contact-centre AI use cases in production, not just PoCs
• Understanding of contact-centre operations — AHT, FCR, CSAT, containment rate, deflection and QA metrics
• Experience with omnichannel journeys spanning voice, chat, email and messaging
• Telecom, BFSI or large enterprise customer-service environments preferred
• Awareness of data privacy, call recording consent, GDPR and regulatory obligations in customer interactions
• Azure AI Foundry — projects, agent service, model catalogue, prompt flow, evaluations and deployment
• Azure OpenAI — GPT model families, function/tool calling, fine-tuning, prompt engineering
• Azure AI Speech — real-time STT/TTS, custom speech models, custom neural voice, speaker recognition, diarisation
• Azure AI Search, vector databases, embeddings and hybrid retrieval
• Conversational AI platforms — Copilot Studio, Azure Bot Service, Language Understanding / CLU
• Agentic frameworks — Semantic Kernel, LangGraph, AutoGen, MCP or equivalent
• Strong Python; REST APIs, FastAPI, microservices, async and streaming architectures
• Azure platform services — Functions, App Service, AKS, API Management, Event Hub, Service Bus, Key Vault, Entra ID
• Azure DevOps / GitHub Actions, CI/CD, containerisation, infrastructure as code
• Monitoring and observability using Azure Monitor, Application Insights and AI evaluation tooling Domain and use-case experience
• Proven delivery of customer care / contact-centre AI use cases in production, not just PoCs
• Understanding of contact-centre operations — AHT, FCR, CSAT, containment rate, deflection and QA metrics
• Experience with omnichannel journeys spanning voice, chat, email and messaging
• Telecom, BFSI or large enterprise customer-service environments preferred
• Awareness of data privacy, call recording consent, GDPR and regulatory obligations in customer interactions