2 months ago
Chennai, IndiaStaff+
Responsibilities
- Design, develop, and maintain scalable enterprise AI agents and high-volume ELT/ETL data pipelines.
- Build and deploy generative AI agents using Google ADK and Google Flash 2.5+ LLMs with human-in-the-loop architectures.
- Develop data federation layers supporting lambda and Data Mesh architectures using tools such as Starburst.
- Develop, deploy, and automate microservice integrations for data-intensive applications.
- Use cloud-native infrastructure, OpenShift, Kubernetes, and CI/CD pipelines to deliver scalable and resilient systems.
- Integrate agentic AI tools and platforms through advanced prompt engineering to improve development and operational efficiency.
- Ensure data quality, integrity, security, regulatory compliance, and appropriate risk management across the data lifecycle.
- Contribute to data engineering standards, best practices, and continuous process improvement.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 8 years of overall experience in large-scale application development.
- At least 5 years of experience in a Python and PySpark engineering lead role focused on enterprise-grade ELT/ETL processes.
- Hands-on experience with agentic AI development, YAML, JSON, FastAPI or Spring Boot, Google ADK, LLM integrations, Devin.AI or GitHub Copilot, MCP, and advanced prompt engineering.
- Experience developing and automating microservice integrations for data-intensive applications.
- Proficiency in Python or Scala and strong SQL skills with relational databases.
- Deep understanding of data modeling, data warehousing, Data Mesh architecture, and data federation.
- Excellent communication, collaboration, and problem-solving skills.
- Preferred experience with Cloudera, Databricks, AWS, Azure, GCP, Angular, React, Docker, Kubernetes, AI/ML techniques, and banking retail products.
- Relevant certifications such as AWS Certified Big Data - Specialty or Azure Data Engineer Associate are preferred.
- A master’s degree is a plus.
Benefits
- Full-time position.
- Equal opportunity employer with reasonable accommodation support available.
Tech Stack
AngularApache KafkaAWSAzureDatabricksDockerFastAPIGoogle Cloud PlatformKubernetesOpenShiftPythonReactScalaSpring BootSQL
Categories
AI ApplicationsData Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.