Experience: At least 10+ years of hands-on application development experience.
Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation.
Develop and maintain data pipelines using Python and related libraries (e.g., Polar ,Pandas).
Optimize ETL processes and data pipelines for performance and scalability.
Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs.
Implement data quality checks and monitoring to ensure data accuracy and consistency.
Troubleshoot and resolve data-related issues.
Create and maintain technical documentation for ETL processes, data pipelines, and database solutions.
Stay up-to-date with the latest trends and technologies in data management and analytics.
Database Knowledge: Strong knowledge of databases such as Oracle/MY SQL/SQL.
Scripting: Strong knowledge of Python.
Problem-Solving: Excellent analytical and problem-solving skills.
Communication: Strong communication and interpersonal skills.
Teamwork: Ability to work effectively in a team environment.
Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering
Deep hands-on experience in engineering and executing scalable enterprise solutions.
Expert-level proficiency in Python (e.g., FastAPI, Flask, PySpark)
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N).
Good to have experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas).
Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems.
Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems.
Demonstrated experience in designing and implementing robust APIs for AI services.
Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews. Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects. Proven expertise in system design, application development, and ensuring operational stability for AI initiatives.
Deep experience with application and data architecture patterns and designs. Experience leveraging managed services and existing platforms, with a strong emphasis on API-First Design, microservices, and event-driven architectures.
Hands-on experience with Docker and Openshift.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- At least 10 years of hands-on application development experience
- Expert-level proficiency in Python
- Experience developing ETL processes and scalable data pipelines
- Strong knowledge of SQL, PL/SQL, and relational databases
- Experience with Oracle, PostgreSQL, MongoDB, or similar database technologies
- Experience with FastAPI, Flask, or PySpark
- Understanding of core AI concepts, including knowledge representation, planning, uncertainty, and multi-agent systems
- Experience with agentic AI frameworks such as Google ADK, LangGraph, LangChain, AutoGen, CrewAI, or n8n
- Experience creating, deploying, and integrating Model Context Protocol servers or clients into agentic AI systems
- Experience with large language models such as ChatGPT, Claude, Gemini, or Llama
- Experience designing and implementing APIs for AI services
- Proficiency with Git, CI/CD, testing, code reviews, and agile methodologies
- Experience with application and data architecture, API-first design, microservices, and event-driven architectures
- Hands-on experience with Docker and OpenShift
- Experience with TensorFlow, PyTorch, Scikit-learn, NumPy, or Pandas
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
