Generative AI Software Engineering Lead

1 month ago


Pune, India Citi Full time
We are Citi’s ICG Technology Strategy team, a start-up with the exciting mission of shaping the direction of travel for the ICG 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 relatively new and growing space, as a result, we ask that you share with us a specific AI engineering projects on 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.You might be a good fit if youBring your deep-dive software engineering expertiseThrive in a results-driven environment, where flexibility fuels impactBe a game-changer, ready to step beyond your designated roleLove the synergy of pair programming? So do weSeize the opportunity to explore machine learning and its real-world applications at scale. Jump inA relentless passion to learn more about machine learning and generative AI, bringing your knowledge to shape Citi’s future.What you’ll do within the Tech Strategy team:Lead the 0-1 build of multiple AI productsDesign and build high-quality, highly reliable products with user experience at the centreBe responsible for engineering innovative, best in class AI platforms for the bankCreating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bankContinually 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 expertiseExperience that will help you succeed in this roleDeep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale15+ YRS eFluency in at least two programming language, with preference for Python, Javascript/Typescript, GolangExperience designing control and sandboxing systems for AI researchPytorch, TensorFlow experienceExperience maintaining and/or contributing to bug bounty and responsible disclosure programsUnderstanding of language models and transformersRich understanding of vector stores and search algorithmsLarge-scale ETL developmentDirect engineering experience of high performance, large-scale ML systemsHands on MLOps experience, with an appreciation of the end-to-end CI/CD processHave experience supporting fast-paced startup engineering teamsHave used LangChain and even contributed to the project.A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.What we believe inWe do not have boundaries between engineering and research, and we expect all our technical staff to contribute to both as needed.We take a product-focused approach and care about building solutions that are robust, scalable, and easy to use.We enjoy working in a fast-paced team tackling cutting-edge problems by constantly testing and learning.We enjoy pair programming for our products, we are lean in our approach and remove bureaucracy where we see it.We believe in delivering fast, iterating and pivot as we go, rather than defining the perfect solution upfront.-------------------------------------------------Job Family Group:Technology

-------------------------------------------------Job Family:Applications Development

------------------------------------------------------Time Type:Full time

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