Lead and manage applications development teams while designing, developing, and deploying scalable Generative AI solutions. Build Python backend services, integrate GenAI APIs, implement RAG systems, and optimize application performance, scalability, and security. Oversee technical solutions, staffing, delivery, budgets, risk, compliance, testing, code reviews, and engineering standards. Collaborate with product managers, data scientists, and engineers to deliver reliable AI-powered products.
We are seeking a highly skilled and experienced GenAI/Python Developer to join our innovative and dynamic engineering team. The ideal candidate will be a hands-on developer with a strong background in Python programming and extensive experience with Generative AI technologies. You will be instrumental in designing, developing, and deploying cutting-edge AI-powered solutions, working with various GenAI APIs, and building robust backend services.
Responsibilities:
- Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
- Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
- Review and analyze proposed technical solutions for projects
- Contribute to formulation of strategies for applications development and other functional areas
- Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
- Provide evaluative judgment based on analysis of factual data in complicated and unique situations
- Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
- Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
- 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
- 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:
- 10+ years of professional software development experience with a strong focus on Python.
- Proven hands-on experience with Generative AI concepts and technologies.
- 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 ability to work independently as well as in a team environment.
- Strong communication and interpersonal skills.
Demonstrable experience working with GenAI-related APIs, such as OpenAI, Gemini, etc.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.
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