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Citi Group Generative AI Software Senior Engineer 
India, Maharashtra, Pune 
38367776

02.08.2024

You might be a good fit if you

  • Bring your deep-dive software engineering expertise
  • Thrive in a results-driven environment, where flexibility fuels impact
  • Be a game-changer, ready to step beyond your designated role
  • Love the synergy of pair programming? So do we!
  • Seize the opportunity to explore machine learning and its real-world applications at scale. Jump in!
  • A 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 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

  • Deep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale
  • 15+ YRS e
  • Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang
  • Experience designing control and sandboxing systems for AI research
  • Pytorch, TensorFlow experience
  • 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
  • Have 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 in

  • We 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.
Applications Development


Time Type:

Full time

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