5 months ago
Base Salary
$121k - $182k/yr
Responsibilities
- Design, develop, and maintain scalable AI agents and enterprise-grade ELT/ETL data pipelines using Python, FastAPI, microservices, PySpark, Kafka, and Databricks.
- Build and deploy generative AI agents using Google ADK and Google Flash 2.5+ LLMs for application automation, workflow support, and 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 using cloud-native infrastructure, OpenShift, Kubernetes, and CI/CD pipelines.
- Integrate agentic AI tools and platforms through advanced prompt engineering to improve development and operational efficiency.
- Ensure data quality, integrity, and security across the data lifecycle.
- Contribute to data engineering standards, processes, and best practices while managing compliance, control, and enterprise risk requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field; a master’s degree is a plus.
- At least 8 years of experience in large-scale application development, including recent experience with the mandatory AI-agent deployment platform.
- At least 5 years of experience in Python and PySpark engineering leadership focused on high-volume ELT/ETL processes with PySpark and Databricks.
- Hands-on experience developing agentic AI solutions with YAML, JSON, FastAPI or Spring Boot, Google ADK, LLM integrations, Devin.AI or GitHub Copilot, MCP, and prompt engineering.
- Experience developing and automating microservice integrations for data-intensive applications.
- Proficiency in Python or Scala, strong SQL skills, and experience with relational databases.
- Deep understanding of data modeling, data warehousing, Data Mesh architecture, and data federation.
- Excellent communication, collaboration, and problem-solving skills.
- Preferred qualifications include experience with Cloudera, Databricks, AWS, Azure, GCP, Angular, React JS, AI/ML techniques, Docker, Kubernetes, banking retail products, and relevant cloud or data engineering certifications.
Benefits
- Full-time role based in Rutherford, New Jersey.
- Base salary range of $121,200.00 to $181,800.00.
- Medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid vacation, sick leave, and holidays.
- Eligible employees may receive discretionary and formulaic incentive and retention awards.
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.