Senior AI Engineer

Overview

Senior AI Engineer to design, develop, deploy, and support enterprise AI applications and AI agent solutions across cloud platforms.

What you'll do

• Design and deploy AI Agents using cloud-native and open-source agent frameworks.
• Implement RAG systems using vector stores, knowledge bases, and search services.
• Build scalable web applications and internal tools for AI and automation capabilities.
• Support AI/ML workloads across Microsoft Azure, AWS, and Google Cloud Platform.
• Resolve cloud and AI platform incidents using root cause analysis.
• Set up automation, DevOps, and CI/CD pipelines using GitHub Actions/Azure DevOps.
• Implement observability with monitoring, logging, tracing, and alerting for AI services.

What you'll need

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• Hands-on experience with cloud-native AI services, model deployment, RAG implementation, and AI platform operations.
• Strong programming/scripting skills in Python, PowerShell, and at least one backend language (C#/.NET, Node.js, or Python FastAPI).
• Experience building APIs, microservices, automation workflows, and production-grade integrations.
• Experience with SQL and NoSQL databases including Cosmos DB and DynamoDB.
• Strong understanding of DevOps, CI/CD, IaC, containerized deployments, and release automation.
• Solid understanding of cloud security, networking, identity, compliance, monitoring, and operational support.

Details

• On-site work: 5 days.
• May require rotational shifts or on-call support.