Top Tech Jobs & Startup Jobs

Develop and maintain full-stack applications for Citi’s Oracle Ledger Program using Java, Angular or React, REST APIs, and Selenium. Lead the software lifecycle from analysis through implementation, provide advanced production support, resolve complex issues, collaborate with business and technology teams, establish engineering standards, and mentor junior developers. The role supports critical financial systems in a global delivery model and may involve Python scripting and Oracle financial platforms.

Develops, analyzes, tests, debugs, installs, and supports applications and application systems. Identifies system enhancements, analyzes vulnerabilities, recommends programming solutions, resolves technical issues, and collaborates with users and technology teams. The role operates with limited supervision, exercises independent judgment, advises stakeholders, coaches junior analysts, and supports compliance and risk management within a financial services environment.

Develop and maintain scalable Python applications for Generative AI, integrating APIs such as OpenAI and Gemini and implementing RAG systems. Build backend services with FastAPI, Flask, or Django; write tests; optimize performance, security, and scalability; and collaborate with product, data science, and engineering teams. The role also involves application lifecycle management, code reviews, user support, risk assessment, standards development, and mentoring junior analysts.

Develop and maintain scalable Python applications for Generative AI, integrating AI APIs and implementing RAG systems. Build backend services with FastAPI, Flask, or Django; optimize performance, security, and scalability; write tests; participate in code reviews; collaborate with product, data science, and engineering teams; and provide technical guidance to junior analysts.

Lead the design, development, and deployment of scalable Generative AI applications using Python. Build integrations with GenAI APIs, implement RAG systems, develop backend services, write automated tests, optimize performance and security, and collaborate across product, data science, and engineering teams. The role also provides technical guidance to developers, contributes to architecture and coding standards, and supports risk management and regulatory compliance.

Leads application production support for custody, digital assets, and settlements systems. Partners with technology, product, business, and infrastructure teams to resolve complex incidents, improve application stability, manage outages, coordinate disaster recovery, and define supportability standards. Analyzes system impacts, documents requirements, identifies risks and vulnerabilities, drives process improvements, and advises development teams. Provides technical leadership, coaches analysts, and influences strategic technology and operational decisions.

Leads open-source intelligence collection, threat hunting, and analysis for Citi’s Fraud Fusion Center. Monitors social media, deep web, and dark web threats; analyzes cyber-enabled fraud, attack vectors, and financial crime patterns; develops intelligence collection capabilities and processes; produces written reports and briefings; manages multiple projects; collaborates with global stakeholders; and mentors junior staff.

Leads Oracle EBS application development, systems analysis, architecture-aligned design, coding standards, testing, debugging, and implementation. Partners with management teams to deliver system enhancements and process improvements, resolves complex application and business-process issues, assesses risk and compliance, and mentors developers and analysts. Requires deep Oracle EBS technical and functional expertise, including PL/SQL, AOL, RICE, XML, BI Publisher, workflows, Forms, Reports, OAF, web services, and source control.

Lead the strategy, roadmap, and lifecycle of an AI-first data platform for Investor Services. Drive AI and ML automation across Funds and Custody data operations, define intelligent client and developer tools, and shape data productization. Partner with Engineering, Data Science, Sales, and Marketing to launch and scale technical data products, influence organizational change, and deliver market adoption across global financial services.

Architect and deploy production-grade generative and agentic AI systems for Citi’s regulated enterprise environment. Responsibilities include context engineering, prompt engineering, RAG, knowledge graphs, Graph RAG, multi-agent orchestration, MCP and A2A integrations, observability, responsible AI controls, scalable deployment, and real-time AI solutions. The role partners with cross-functional stakeholders, mentors engineers, conducts code reviews, and advances automation across Controls Technology.