Python AI Engineer (Hands-On)

About Citi:

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 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.

The Role:

Citi's global AI platforms team is seeking a versatile Python AI Engineer to spearhead the design and development of cutting-edge Generative AI platforms. This role is a key driver in creating a competitive advantage for Citi’s lines of business by architecting and delivering high-impact, scalable AI solutions primarily using Python, while also leveraging and TypeScript. The ideal candidate is an expert polyglot engineer with a proven track record in building enterprise-grade products, who will lead innovative AI projects and shape the future of financial technology at Citi.

Responsibilities

• Contribute to the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, , and TypeScript.
• Assist in ensuring the seamless operation, scalability, and integration of AI capabilities across various Citi business units.
• Collaborate with data science, technical, and business stakeholders on architectural definition and design for key use-cases.
• Participate in the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions.
• Contribute to resolving technical and business problems, assisting with projects through in-depth evaluation of complex business processes, system architecture, and industry standards.
• Provide guidance and apply advanced knowledge in modern programming, ensuring platform design adheres to architectural blueprints and best practices for generative models.
• Adhere to and contribute to the development of robust coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions across Python, , and TypeScript.
• Manage individual contributions to multiple concurrent initiatives and projects of varying sizes and complexity.
• Participate in engagements with external vendors and startups for joint initiatives and exploration of new technologies.
• Develop a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi.
• Mentor junior team members and share knowledge with team members specializing in AI technologies to foster skill development.
• Collaborate with Citi's Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling.

Qualifications

• 4+ years' progressive experience with hands-on Python engineering in developing and implementing scalable and robust platforms, applications, and services using modern libraries and frameworks (, Python: FastAPI, Flask, Pandas, Scikit-learn, Hugging Face; Express, NestJS; TypeScript).
• 3+ years of experience delivering complex backend solutions and services (, APIs, microservices) into production.
• Demonstrated experience in implementing successful projects of varying sizes and complexities.
• Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation.
• Experience with cloud architectures, with specific experience in public cloud offerings.
• Strong passion and proven hands-on experience integrating with AI/ML technologies.
• Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews.
• Ability to quickly learn new technologies, adjust priorities, and contribute to technology decisions.
• Strong organizational skills and ability to manage individual tasks effectively.
• Excellent communication and documentation skills, with the ability to communicate clearly and concisely, both written and verbal.
• Strong analytical, problem-solving skills, and a strategic mindset.
• Experience in the financial industry is a significant advantage.

Education

• Bachelor's degree/University degree or equivalent experience is required.

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

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$94, - $141,

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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