C

Citi

Runs banking and payments for global clients

Generative AI Python Developer - Assistant Vice President

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeTampa, FL, USAHybrid

About the Job

Requirements

  • At least 5 years of professional software development experience, with a strong focus on Python.
  • Hands-on experience with Generative AI concepts and technologies.
  • Experience working with Generative AI-related APIs such as OpenAI and Gemini.
  • Practical experience implementing Retrieval Augmented Generation systems.
  • Expertise in at least one modern Python web framework: FastAPI, Flask, or Django.
  • Understanding of software development best practices, including version control with Git, testing, and continuous integration and continuous delivery.
  • Experience with relational and/or NoSQL databases.
  • A bachelor's or university degree, or equivalent experience.

Responsibilities

  • Conduct feasibility studies and time and cost estimates, perform IT planning, risk technology, application development, and model development, and establish or implement new or revised applications and programs for specific business or user needs.
  • Monitor and control all phases of the development process, including analysis, design, construction, testing, and implementation, and provide application support to business users.
  • Apply in-depth application-development knowledge to analyze complex problems, evaluate business and system processes and industry standards, and make evaluative judgments.
  • Recommend and develop security measures through post-implementation analysis of business usage to support successful system design and functionality.
  • Consult with users, clients, and 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.
  • Advise or coach new or lower-level analysts.
  • Assess risk in business decisions, consider the firm's reputation and the safeguarding of its clients and assets, comply with applicable laws and policies, apply sound ethical judgment, and transparently escalate, manage, and report control issues.
  • Design, develop, and maintain high-quality, scalable, and efficient Python code for Generative AI applications.
  • Integrate and use Generative AI APIs, including OpenAI and Gemini, to build features and products.
  • Implement and optimize Retrieval Augmented Generation systems to enhance model capabilities and provide contextually relevant responses.
  • Develop and deploy backend services using Python frameworks such as FastAPI, Flask, or Django.
  • Collaborate with product managers, data scientists, and engineers to define requirements and deliver solutions.
  • Write unit and integration tests to support code quality and reliability.
  • Participate in code reviews and contribute to code quality and best practices.
  • Optimize application performance, scalability, and security.

Desired Qualifications

  • Familiarity with cloud container orchestration services such as OpenShift or ECS for deploying and managing applications.
  • Familiarity with Lightspeed.
  • Strong problem-solving skills and the ability to work independently and in a team environment.
  • Strong communication and interpersonal skills.

About the Company

Citi

Runs banking and payments for global clients

Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1812

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