Python AI Engineer - Assistant Vice President

Citigroup; Irving (TX); Presencial; USD 120 000 - 210 000; Tempo integral

Resumo da oferta

Citi is seeking a highly skilled Python/Generative AI Developer to design, develop, and deploy cutting-edge AI models and chat interfaces. You will work across the AI lifecycle from research to production, delivering scalable solutions that empower our teams and clients.

You will collaborate with data scientists and product managers, ensure responsible AI practices, and contribute to secure, reliable platforms that support Citi’s global operations.

Qualificações

• 5–8 years of professional software development experience with Python.
• Hands-on with Generative AI models and LLMs.
• Experience with Google AI/ML platforms and SDKs.
• Familiar with TensorFlow, PyTorch, or JAX.
• Strong front-end skills with React for interactive UIs.
• Experience implementing chat features with streaming and async ops.
• Cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Familiar with Docker and Kubernetes.
• Excellent problem-solving and teamwork.
• Excellent communication.

Responsabilidades

• Design, develop, and deploy Generative AI models and applications.
• Integrate Generative AI capabilities into existing systems and build new AI-powered apps.
• Build dynamic, responsive chat interfaces using React with real-time updates.
• Stay current with AI/ML advances and regulatory guidelines.
• Optimize models for performance, scalability, and efficiency.
• Develop robust data pipelines for training, evaluation, and deployment.
• Collaborate with data scientists, ML engineers, and product managers.
• Ensure responsible and compliant deployment of AI models.
• Write clean, documented code and participate in code reviews.
• Troubleshoot performance bottlenecks and issues.

Descrição da oferta de emprego

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.