We are Citi’s Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.
Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you’re proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM’s behaviour.

MOST RELEVANT SKILLS

Please see the requirements listed above.
-

OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.
-
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 WITHIN THE TECH STRATEGY TEAM:

• Lead the 0-1 build of multiple AI products
• Design and build high-quality, highly reliable products with user experience at the centre
• Be responsible for engineering innovative, best in class AI platforms for the bank
• Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank
• Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)
• Mentor and nurture other engineers to help them grow their skills and expertise

EXPERIENCE THAT WILL HELP YOU SUCCEED IN THIS ROLE

• Fluency in Golang is a must-have, (Python is a desirable addition)
• Experience designing control and sandboxing systems for AI experimentation
• Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
• Understanding of language models and transformers
• Rich understanding of vector stores and search algorithms
• Large-scale ETL development
• Direct engineering experience of high performance, large-scale ML systems
• Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process
• Have experience supporting fast-paced startup engineering teams
• A contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.