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Citi's Markets Technology group is redefining how financial risk is managed, and we're looking for a Senior Python Engineer to sit at the center of that transformation. In this role, you will build and scale intelligent backend platforms that apply Generative AI to analyze vast volumes of unstructured financial data - extracting trading intelligence, validating market activity, and strengthening the controls that underpin Citi's global markets business. This is a high-impact engineering role where roughly 80% of your time is hands-on coding, and your work will directly shape the next generation of risk technology at one of the world's leading financial institutions. Responsibilities Build and implement sophisticated risk algorithms on Citi's strategic platforms by integrating Generative AI foundational models to validate market behavior and extract actionable intelligence from large volumes of chat & voice data. 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. Design, develop, and deliver end-to-end backend systems - from architectural design and system analysis through to deployment on Kubernetes-based infrastructure. Continuously evaluate and implement emerging Generative AI techniques and technologies to improve platform capability and development efficiency. Collaborate with cross-functional teams to define, design, and ship new features across a platform with hundreds of underlying controls. Produce high-quality, production-ready software that is unit-tested, code-reviewed, and integrated continuously into live systems. Create and maintain clear, comprehensive technical documentation to support system reliability and team knowledge sharing. Required Qualifications & Skills 4+ years of hands-on experience applying Generative AI foundational models in production environments, with demonstrated expertise in prompt engineering and token usage optimization. Deep professional experience in Python for backend development, with the ability to design and build scalable, high-performance systems. 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 Experience working in financial services or banking, with familiarity with trading workflows, market data, or financial risk concepts. Exposure to processing and deriving insights from large volumes of unstructured or conversational data. Strong communication and influencing skills, with the ability to align technical and non-technical stakeholders around shared goals. Experience working across 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. Apply now to bring your Generative AI and Python engineering expertise to Citi's Markets Technology group - and help build the intelligent platforms that define how financial risk is managed globally. ------------------------------------------------------ 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.