Azure AI Engineer

About the role

We are seeking an engineer to build and deploy advanced agentic AI systems within the Azure ecosystem. You will focus on creating scalable sentiment intelligence solutions and managing complex LLM workflows to support our enterprise objectives.

Key facts

What you'll do

• Design and build large-scale agentic AI architectures focused on sentiment analysis.
• Create and refine LLM orchestration frameworks, agent workflows, and prompt pipelines.
• Develop and maintain cloud-native Azure services optimized for performance and scale.
• Partner with research, data engineering, and product teams to integrate AI functionality.
• Guide technical strategy for AI development while maintaining security and compliance standards.
• Oversee the deployment of AI systems into production environments.

Requirements

• Proficiency in Python and C# for backend development.
• Experience with Azure Cloud-Native development and microservices.
• Expertise in Agentic AI frameworks and autonomous workflow design.
• Hands-on experience with Azure AI Foundry and Azure OpenAI.
• Knowledge of prompt engineering, embeddings, and AI evaluation frameworks.
• Ability to manage the full lifecycle of AI and ML systems from development to production.

Skills & tools

• Azure AI Foundry
• Azure OpenAI
• Python
• C#
• LLM Orchestration
• Agentic AI Frameworks
• NLP and Sentiment Analysis
• Microservices Architecture

Practical notes

Salary Range: $64,000 - $98,000 per year. Benefits include a discretionary annual incentive, 401K plan, performance bonuses, and comprehensive medical, dental, and vision insurance. Additional perks cover parental leave, student loan refinancing, legal assistance, pet insurance, commuter benefits, and reimbursement for professional training and certifications.