Job description

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together We are seeking a highly skilled and motivated Python/Generative AI Developer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying advanced Generative AI models and applications, including sophisticated chat interfaces. You will work on various aspects of the AI lifecycle, from research and prototyping to production deployment, contributing to solutions that drive innovation and efficiency within our organization. Responsibilities : • Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch). • Integrate Generative AI capabilities into existing systems and develop new AI-powered applications. • Build and maintain dynamic and responsive chat interfaces for Generative AI solutions using React, incorporating features such as HTTP streaming for real-time updates, asynchronous processing for efficient user experience, secure file upload capabilities, and advanced chat formatting. • Conduct research and stay up-to-date with the latest advancements in Generative AI, natural language processing, and machine learning. • Optimize and fine-tune AI models for performance, scalability, and efficiency. • Develop robust data pipelines for training, evaluation, and deployment of AI models. • Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions. • Ensure the responsible and ethical deployment of AI models, adhering to best practices and regulatory guidelines. • Write clean, maintainable, and well-documented code, adhering to software development best practices. • Participate in code reviews, contribute to architectural discussions, and provide technical guidance. • Troubleshoot and debug AI models and applications, identifying and resolving performance bottlenecks and issues. Required Qualifications : • 5-8 years of professional experience in software development, with a strong focus on Python. • Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures. • Experience with Google ADK or similar Google AI/ML platforms and SDKs. • Understanding of Deep learning frameworks such as TensorFlow, PyTorch, or JAX. • Strong front-end development skills, particularly with React, for building interactive user interfaces. • Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques. • Solid understanding of machine learning principles, algorithms, and data structures. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models. • Familiarity with containerization technologies (e.g., Docker, Kubernetes). • Strong problem-solving skills and the ability to work independently and as part of a team. • Excellent communication and interpersonal skills. Education: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Irving Texas United States ------------------------------------------------------ Primary Location Full Time Salary Range: $107,120.00 - $160,680.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Oct 13, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right ------------------------------------------------------ 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.

Requirements

Must-haves

Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
Integrate Generative AI capabilities into existing systems and develop new AI-powered applications.
Conduct research and stay up-to-date with the latest advancements in Generative AI, natural language processing, and machine learning.
Optimize and fine-tune AI models for performance, scalability, and efficiency.
Develop robust data pipelines for training, evaluation, and deployment of AI models.
Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions.
Ensure the responsible and ethical deployment of AI models, adhering to best practices and regulatory guidelines.
Write clean, maintainable, and well-documented code, adhering to software development best practices.
Participate in code reviews, contribute to architectural discussions, and provide technical guidance.
Troubleshoot and debug AI models and applications, identifying and resolving performance bottlenecks and issues.
5-8 years of professional experience in software development, with a strong focus on Python.
Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures.
Experience with Google ADK or similar Google AI/ML platforms and SDKs.
Understanding of Deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Strong front-end development skills, particularly with React, for building interactive user interfaces.
Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques.
Solid understanding of machine learning principles, algorithms, and data structures.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models.
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent communication and interpersonal skills.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
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Technology ------------------------------------------------------

Nice-to-haves

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Application prep

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Keywords to mirror

pythonaireactmachine learningmlawsazuregcpdockerkubernetesaccessibility

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness