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    Senior Ops Generative AI Software Engineer - New York, United States - Citigroup Inc

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    Description


    Are you looking for career move that will allow to take a strategic project zero to one? Then bring you experience in software engineering to Citi and seize the opportunity to explore AI and LLMs and their real-world applications at scale to improve productivity and drive operational efficiencies.

    We are seeking an innovative Full Stack Engineering Lead to join the Operations Engineering and Architecture group.

    This dedicated team is focused on driving Operations technology target state and delivering tangible reductions in process friction, errors, and manual effort.

    In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organization.

    You will also work with Generative AI technologies, such as GPT-4, embedding their capabilities through prompt engineering in our systems.

    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 in the Kubernetes ecosystem.

    You will be joining us right at the beginning of our journey.

    We are seeking experienced software engineers who thrive in a results-driven environment, passionate about AI and LLM and who (just like us) love programming.


    What you'll do:


    Contribute to both, engineering and researchTake a product-focused approach and build solutions that are robust, scalable, and easy to useWork in a fast-paced environment tackling cutting-edge problems by constantly testing and learningPair programming for our products, be lean in your approach and remove bureaucracy where you see itDeliver fast, iterating and pivot as you go, rather than defining the perfect solution upfrontDevelop foundational components and mature technology capabilities in AI and LLMsDrive adoption across the enterpriseWhat we'll need from you:Deep hands on knowledge of Kubernetes, developing backend platforms and engineering solutions that scaleFluency 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 AI/ML systemsHave experience supporting fast-paced startup engineering teamsHave used LangChain and even contributed to the project.

    As 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 behavior.


    Job Family Group:

    TechnologyJob Family:
    Applications Development

    Time Type:
    Full time

    Primary Location:
    New York New York United States

    Primary Location Salary Range:
    $176, $265,080.00Citi is an equal opportunity and affirmative action employer.

    Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

    Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities.

    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 the "EEO is the Law" poster. View the EEO is the Law Supplement.
    View the EEO Policy Statement.
    View the Pay Transparency Posting

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