Senior Software Engineer (Python / GenAI) – Markets Technology

Job summary

The role involves architecting and scaling backend systems using Generative AI to analyze financial communication and enhance risk controls. You will collaborate with cross-functional teams to integrate LLM paradigms and deploy high-performance APIs within a Kubernetes-orchestrated infrastructure.

Job details

Citi’s Markets Technology group is modernizing financial risk management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you will architect and scale robust backend systems, leveraging Generative AI to analyze massive volumes of unstructured financial communication - extracting trading signals, validating market behavior, and enhancing critical risk controls across Citi’s global markets infrastructure. This is a high-impact, hands-on engineering position (~80% coding) where your technical contributions will directly influence next-generation risk and intelligence platforms at global enterprise scale. Key Responsibilities Design and implement advanced risk detection and analytics algorithms on Citi’s strategic platforms, integrating Generative AI foundational models to evaluate market activity and derive actionable intelligence from multimodal data (chat, voice, transcripts). Apply advanced prompt engineering, token usage optimization, and Retrieval-Augmented Generation (RAG) techniques to develop efficient, production-grade solutions using Citi's proprietary data at scale. Architect, build, and deploy resilient, distributed backend services and high-performance APIs across Kubernetes-orchestrated infrastructure. Continuously research, benchmark, and integrate emerging LLM/GenAI paradigms, libraries, and frameworks to elevate platform capabilities and engineering velocity. Partner with quantitative analysts, product owners, risk managers, and compliance teams to roll out features across platforms governing hundreds of risk controls. Deliver clean, modular, and maintainable software backed by comprehensive unit testing, rigorous peer code reviews, and automated CI/CD pipelines. Author and maintain architectural blueprints, system diagrams, and technical documentation to foster reliability and team-wide technical excellence. Required Qualifications & Skills 4+ years of professional experience in Python for backend development, with the ability to design and build scalable, high-performance systems. Hands-on experience applying Generative AI foundational models in production environments, with demonstrated expertise in prompt engineering and token usage optimization. Practical knowledge of Kubernetes for deploying and operating scalable backend platforms and engineering high-performance APIs. Solid command of software engineering fundamentals, including system design, data structures, and algorithms. Ability to work independently, manage competing priorities, and deliver across multiple workstreams without close direction. Bachelor's degree or equivalent professional experience. Beneficial Skills & Qualifications Exposure to processing and deriving insights from large volumes of unstructured or conversational data. Preferred experience working in financial services or banking, with familiarity with trading workflows, market data, or financial risk concepts. Strong communication and influencing skills, with the ability to align technical and non-technical stakeholders around shared goals. Experience working across international, cross-functional teams and contributing to collaborative platform delivery. What We Offer At Citi, you will work on technology that operates at genuine global scale - contributing to platforms that process real financial data, support critical market operations, and place Generative AI at the heart of how risk is understood and managed. This is an opportunity to do technically ambitious work in a performance-driven environment that rewards ownership and continuous learning. A hybrid working arrangement offering 3 days in the office and 2 days working remotely, providing flexibility alongside meaningful in-person collaboration. Direct ownership of complex, high-stakes engineering challenges at the intersection of large-scale systems and cutting-edge AI - with real impact on financial markets technology. Access to Citi's learning and development programs, supporting your growth as both a technical practitioner and a senior contributor. Exposure to Generative AI applied in one of the most data-rich and technically demanding environments in financial services. Competitive financial wellbeing benefits and compensation aligned to senior-level engineering contribution. Wellbeing support and work-life balance initiatives designed to help you perform at your best over the long term. How to Apply Apply now to bring your Python engineering and Generative AI expertise to Citi's Markets Technology group—and help build the intelligent foundation powering global financial risk management. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $94,300.00 - $141,500.00 ------------------------------------------------------ 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. ------------------------------------------------------ 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.

What you’ll do

The role involves architecting and scaling backend systems using Generative AI to analyze financial communication and enhance risk controls. You will collaborate with cross-functional teams to integrate LLM paradigms and deploy high-performance APIs within a Kubernetes-orchestrated infrastructure.

Requirements

Candidates must have at least 4 years of professional Python backend development experience and hands-on expertise with Generative AI models. A bachelor's degree is required, along with strong knowledge of system design, Kubernetes, and software engineering fundamentals.

Benefits

• Hybrid working arrangement
• Learning and development programs
• Financial wellbeing benefits
• Wellbeing support
• Work-life balance initiatives

Listed skills

• Kubernetes · Preferred
• CI/CD · Preferred
• Risk Management · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Generative AI
• Prompt engineering
• Retrieval-Augmented Generation
• Kubernetes
• Backend development
• API development
• System design
• Data structures
• Algorithms
• CI/CD
• Unit testing
• Risk management
• Financial technology
• Distributed systems
• Influencing Skills
• Continuous Development
• Prompt Engineering
• Financial Communication
• Generative Artificial Intelligence
• Back End (Software Engineering)
• Workflow Management
• Learning and Development Programs and Policies
• Retrieval Augmented Generation
• Resilience
• Edge Intelligence
• Research
• Application Programming Interface (API)
• Artificial Intelligence
• Automation
• Unit Testing
• Decision Making
• Code Review
• Communication
• Data Structures
• Financial Services
• Financial Data
• Financial Market
• Financial Risk
• Financial Risk Management
• Global Marketing
• Scalability
• Python (Programming Language)
• Operations
• Performance Systems Analysis
• Telecommuting
• Software Engineering
• Systems Design
• Technical Documentation

Job areas

• Technology
• Software
• Finance & Accounting
• Data & Analytics
• Engineering
• Python Software Engineer
• Python Developer
• Software Developers

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