Senior Backend Python Engineer -AI Platform, Vice President

This role provides a unique opportunity to significantly contribute to our organization's strategic direction through innovative AI product development within a dynamic financial environment. You will gain in-depth knowledge of advanced financial services operations, working on critical deliverables integral to cutting-edge AI projects. This will enable you to develop valuable new skills, contribute to an advanced AI ecosystem, and accelerate your career in a leading global financial institution.

Do you have experience in Software deployment?, Do you have a Master's degree?, Are you looking for a career move that will put you at the heart of a global financial institution? We are seeking an exceptionally skilled Senior Python Software Engineer to architect and implement robust, scalable backend systems that power our advanced AI tools and services. This hands-on individual contributor role demands expert knowledge of Python fundamentals, a profound understanding of software design principles, architectural patterns, and an unwavering commitment to writing clean, maintainable, and production-grade code that minimizes technical debt. Proficiency in FastAPI is a must. Prior experience in Generative AI development and its associated frameworks is a bonus., * Proficiency in core Python and FastAPI framework.

• Profound understanding of software design principles, architectural patterns, and an unwavering commitment to writing clean, maintainable, and production-grade code.
• Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration.
• Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems.
• Experience with containerized deployment (Kubernetes, OpenShift etc).
• Experience with DevOps, CI/CD and agile methodology.
• Experience in Generative AI, LLM frameworks and/or ML is a bonus.

Pulled from the full job description

• Employee discount

• Employee assistance programme

• Company pension

• Private medical insurance, By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure

• A discretional annual performance related bonus

• Private medical insurance packages to suit your personal circumstances

• Employee Assistance Program

• Pension Plan

• Paid Parental Leave

• Special discounts for employees, family, and friends

• Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact., By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress., The Credit Risk Technology team is at the forefront of leveraging data and artificial intelligence to transform critical risk functions within Citi. We develop and maintain complex software solutions that empower Citi's Risk organization to manage counterparty credit risk. Our systems integrate vast datasets, including trades, collateral, market data, and counterparty information to compute essential metrics such as Pre-Settlement Risk (PSE), Exposure at Default (EAD), and Risk Weighted Assets (RWA), alongside optimizing margin allocation, collateral haircuts, liquidity, and concentration levels.