Gen AI - Python Developer - Assistant Vice President

The Gen AI Python Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Design, develop, and maintain high-quality, scalable, and efficient Python code for Generative AI applications.   Integrate and leverage various GenAI-related APIs (e.g., OpenAI, Gemini) to build innovative features and products.   Implement and optimize Retrieval Augmented Generation (RAG) systems to enhance AI model capabilities and provide contextually relevant responses.   Develop and deploy robust backend services using Python frameworks such as FastAPI, Flask, or Django.   Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and deliver solutions.   Write comprehensive unit and integration tests to ensure code quality and reliability.   Participate in code reviews, contributing to a culture of high-quality code and best practices.   Optimize application performance, scalability, and security.   (Optional, if relevant): Work with cloud container orchestration services like   OpenShift   ECS for deploying and managing applications.   (Optional, if relevant): Familiarity with Lightspeed (referring to a specific internal tool or technology - clarify if this is a known external tool) is a plus.   Recommended Qualifications: 5+ years of professional software development experience with a strong focus on Python.  Proven hands-on experience with Generative AI concepts and technologies.  Demonstrable experience working with GenAI-related APIs, such as OpenAI, Gemini, etc.  Solid understanding and practical experience in implementing Retrieval Augmented Generation (RAG) systems.  Expertise in at least one modern Python web framework: FastAPI, Flask, or Django.  Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.  Experience with relational and/or NoSQL databases.  Excellent problem-solving skills and the