AI Engineer - Cloud

📋 Description

• Developing and maintaining our central GenAI Gateway (LLM Gateway) on Azure, integrating both
• Managing the complete lifecycle of LLM deployed models.
• Implementing CI/CD pipelines using Azure DevOps for automated deployments and testing.
• Defining priorities and influencing the GenAI Lab roadmap.
• Operationalizing and integrating AI capabilities into business processes, IT systems, and data
• Collaborating continuously with team members, domain experts, and business stakeholders to refine

🎯 Requirements

• At least 5 years of experience as AI/ML Engineer, Cloud Engineer, or similar.
• Master’s degree in a quantitative field (CS, Software Eng, Data Science, etc.).
• Strong proficiency in Python for GenAI apps and automation.
• Solid experience with Azure cloud services.
• Expertise in Infrastructure-as-Code (Terraform, Bicep, or ARM templates).
• Experience building production-grade GenAI applications.

🎁 Benefits

• Hands-on experience deploying and managing multiple LLM providers (OpenAI, Anthropic Claude, Azure
• Experience with LLM Gateway patterns and API management at scale.
• Familiarity with API design patterns (REST, streaming, WebSockets) and asynchronous processing
• Understanding of AI governance, monitoring, and observability tools (Azure Monitor, Application
• Working knowledge of LangChain and other GenAI orchestration frameworks.
• Knowledge of semantic caching and optimization for LLM apps.