The Applications Development Senior Programmer Analyst position at Citi aims to solve the business and technical problem of establishing and implementing new or revised application systems and programs, specifically focusing on the development, deployment, and maintenance of Generative AI solutions within a financial context.
Requirements
- Expert-level Python programming skills are mandatory.
- deep familiarity with core Python, as well as extensive proficiency in key libraries for AI/ML and GenAI applications: Data Structures: Lists, dictionaries, sets, etc.
- Scientific Computing: NumPy, Pandas, SciPy.
- Machine Learning: Scikit-learn, XGBoost, LightGBM.
- Deep Learning: TensorFlow, PyTorch.
- Generative AI specific Libraries: Transformers, LangChain
- Experience in systems analysis and programming of software applications
Responsibilities
- Lead the end-to-end technical development, deployment, monitoring, and maintenance of real-world, production-level Generative AI solutions within a financial context.
- Apply advanced NLP techniques to financial data, refining prompt engineering strategies for Large Language Models (LLMs) to achieve optimal performance and desired outcomes.
- Develop, test, and maintain high-quality Python code for GenAI applications, integrating with various data sources, APIs, and vector databases.
- Design and implement scalable API architectures for GenAI applications, ensuring seamless integration and efficient data flow.
- Proactively troubleshoot and debug GenAI models in production environments, quickly identifying and resolving issues to maintain system stability and performance.
- Monitor and optimize MLOps pipelines for GenAI models, ensuring efficient training, deployment, and continuous integration/continuous delivery (CI/CD).
- Stay rigorously up to date with the rapidly evolving Generative AI landscape, continuously researching and evaluating new tools, techniques, LLM architectures, and emerging technologies.
Other
- Collaborate extensively with business stakeholders to translate complex business needs into robust and scalable GenAI technical requirements and solutions.
- Participate actively in team meetings, contributing to strategic discussions, technical design reviews, and knowledge sharing sessions.
- Communicate complex technical concepts and GenAI capabilities clearly and effectively to non-technical stakeholders, translating technical jargon into understandable business terms.
- Ensure adherence to best practices in MLOps, model governance, data privacy, and responsible AI principles throughout the development lifecycle.
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
