Job Description
Elevate your career as a Python AI Engineer with Citi in the Retail and Wealth Risk Engineering team. This full-time role focuses on building robust AI solutions and data pipelines.
In this intermediate position, you will design and maintain scalable AI agents and ETL processes using Python, FAST API, and cloud-native infrastructure. Your expertise in Python and PySpark is essential for developing enterprise-grade applications while ensuring data quality and integrity.
Key Responsibilities:
• Design and develop enterprise-grade AI agents and data pipelines
• Build GEN AI agents using Google ADK and LLMs
• Create data federation layers for Data Mesh architecture
• Automate microservice integrations for data applications
• Ensure data quality and compliance throughout cycles
Requirements:
• 5-8 years of application development experience
• Minimum 5 years in Python and PySpark engineering
• Hands-on experience with YAML, JSON, and FAST API
• Strong SQL...
In this intermediate position, you will design and maintain scalable AI agents and ETL processes using Python, FAST API, and cloud-native infrastructure. Your expertise in Python and PySpark is essential for developing enterprise-grade applications while ensuring data quality and integrity.
Key Responsibilities:
• Design and develop enterprise-grade AI agents and data pipelines
• Build GEN AI agents using Google ADK and LLMs
• Create data federation layers for Data Mesh architecture
• Automate microservice integrations for data applications
• Ensure data quality and compliance throughout cycles
Requirements:
• 5-8 years of application development experience
• Minimum 5 years in Python and PySpark engineering
• Hands-on experience with YAML, JSON, and FAST API
• Strong SQL...