Senior AI Engineer

Overview

Senior Agentic AI Engineer to design, develop, and deploy production-grade autonomous AI agent systems on Azure.

What you'll do

• Design and develop agentic AI systems for autonomous decision-making and task execution.
• Architect and implement production AI solutions using Azure services.
• Build and maintain CI/CD pipelines for automated testing and deployment.
• Develop scalable data processing workflows using Azure Databricks and Apache Spark.
• Implement testing strategies for AI apps, including unit, integration, and performance tests.
• Design monitoring, logging, and observability for AI systems and optimize performance, reliability, and cost.
• Mentor junior engineers and lead AI architecture discussions.

What you'll need

• 5 to 8 years of experience in AI/ML engineering.
• At least 2+ years focused on agentic AI or autonomous systems.
• Expert-level proficiency in Python and advanced knowledge of SQL.
• Deep understanding of Azure cloud services including Azure Functions, Azure OpenAI, and Key Vault.
• Hands-on experience with Azure Databricks for large-scale data processing and ML workflows.
• Experience building CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Strong testing experience for AI applications and monitoring using tools like Application Insights and Log Analytics.

Nice to have

• Azure certifications (Azure AI Engineer Associate, Azure Solutions Architect).
• Experience with microservices architecture and MLOps tools (MLflow, Azure ML Pipelines).
• Knowledge of vector databases and semantic search.

Details

• Location: Bangalore, Karnataka, India.