Description

Design, build, and operationalize AI and agentic systems to automate and scale data privacy operations for a platform serving over 100 million users.

This role is on-site.

Responsibilities

• Design and build multi-agent systems and orchestration layers using LangChain, LangGraph, or Google ADK.
• Develop and operationalize RAG pipelines integrating LLMs into production privacy applications.
• Build and optimize data pipelines using Azure Data Factory, Databricks, and Snowflake to support AI model training and inference.
• Implement structured prompting, decision workflows, and tool orchestration for autonomous agent systems.
• Deploy and manage AI workloads on Azure, ensuring MLOps best practices and CI/CD pipeline maintenance.

Required Skills

• 7+ years of experience as an AI Engineer.
• Strong expertise with Azure Data Factory and Azure cloud services.
• Proficiency in Databricks, Snowflake, and GitLab.
• Hands-on experience with LLMs, RAG, LangChain, LangGraph, and Google ADK.
• Experience building agentic workflows and multi-agent orchestration.
• Knowledge of vector databases and embedding strategies.
• Ability to implement responsible AI principles and ensure regulatory compliance.

Key Skills

Education

Any Graduate