We are seeking an experienced AI Integration Engineer to drive the deployment and backend integration of AI chatbot services within a cloud-native environment. The ideal candidate will have a strong background in API development, cloud infrastructure, and DevOps practices to ensure the scalable and secure delivery of AI-powered solutions.
Key Responsibilities:
* API Development & Backend Integration: Build and secure APIs to integrate AI chatbot services with external systems. Develop event-driven microservices to expose GenAI capabilities, including aspects of front-end integration.
* DevOps & Cloud Deployment: Design and implement CI/CD pipelines for AI model updates and software releases. Manage containerized deployments on AKS using Terraform and other infrastructure-as-code tools.
* Security & Monitoring: Apply robust security measures (OAuth 2.0, Zero Trust, API rate limiting) and set up monitoring dashboards to ensure performance, uptime, and reliability of chatbot services.
Role Overview:
* Ensure scalable deployment of AI chatbot solutions through effective cloud infrastructure and DevOps automation.
* Lead hands-on integration of chatbot systems with core backend environments via secure API interfaces.
* Oversee authentication flows and ensure backend systems are compliant, resilient, and performant.
* Support deployment and service exposure strategies aimed at various user-facing assistants, such as those used in Pension and Life-related domains.
Skills & Technical Proficiency:
* Cloud & Infrastructure: AKS, Azure API Gateway, Terraform, Docker, Promptflow
* Backend & API Development: .NET Core, GraphQL, FastAPI, Node.js
* DevOps: Azure DevOps Pipelines, Docker, Helm, Bicep
* Front End: React, JavaScript
Certifications (Preferred):
* AZ-400: Microsoft Certified: Azure DevOps Engineer Expert
* AZ-305: Microsoft Certified: Azure Solutions Architect Expert