A mandatory responsibility is to design, build, and maintain custom Model Context Protocol (MCP) servers and tools. This enables AI agents and LLMs to securely interface with internal databases, APIs, and reporting engines. You will also architect enterprise-grade document generation engines using the Aspose suite to programmatically create high-fidelity financial reports from complex templates.
As a hands-on player/coach, you will deliver complex data visualizations and reporting engines while mentoring junior engineers. This includes critically reviewing and taking ownership of all AI-generated code (Java, Angular, React, SQL) to ensure structural integrity, security compliance, and production readiness, while applying a deep functional understanding of Corporate and Investment Banking (CIB) to all projects.
Key Qualifications
Required Skills & Experience
Systems Fundamentals: Strong foundation in systems analysis, design patterns, data analysis, and the full software development lifecycle (SDLC), including unit testing and CI/CD practices.
Backend Development: Extensive hands-on experience with Java and Spring Boot for building scalable, low-latency microservices and reactive data streaming APIs.
Frontend & Visualization: Strong, hands-on experience with Angular 19+, React, TypeScript, HTML5, and Web Sockets for building interactive, data-intensive dashboards.
Data Federation & Querying: Hands-on experience with Starburst (Trino) for querying massive, distributed datasets across federated enterprise data sources.
Databases & Data Modeling: Deep experience with relational databases (Oracle, SQL Server) and NoSQL (MongoDB), including physical/logical database design, data modeling, and performance tuning.
ETL & Data Processing: Proven experience designing high-throughput ETL pipelines and optimizing data flows for real-time reporting.
Enterprise Reporting: Experience building document generation engines using the Aspose suite (Aspose.Words, Aspose.Cells, Aspose.PDF).
MCP Tool Creation: Demonstrated ability to design and build custom Model Context Protocol (MCP) servers to securely connect LLMs and AI agents to enterprise data.
AI-Assisted Engineering: Hands-on proficiency with AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to write structured prompts and engineer high-quality context (schemas, API specs) for AI agents.
Collaboration Tools: Strong experience with GitHub for source control and Jira for project management.
Preferred Skills & Experience
8+ years of relevant experience
Experience designing and implementing agentic AI workflows and integrating AI agents directly into CI/CD pipelines.
A strong understanding of event-driven systems and real-time message streaming platforms like Apache Kafka or RabbitMQ.
Domain
Functional understanding of Banking — able to articulate why their work matters, not just how it is built.
What Sets This Role Apart
This is not a conventional engineering role. You are expected to operate as a force multiplier — directing AI agents across multiple workstreams, validating output for production safety, and coaching others to do the same. The measure of success is not lines of code written, but outcomes delivered, quality maintained, and the team's collective capability raised.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
Primary Location Full Time Salary Range
$120,800.00 - $170,800.00
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
This job opening is for an existing job vacancy.
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