The Role
Citi's global Innovation Labs is seeking a versatile GenAI Platform Engineer to contribute to the design and development of cutting‑edge Generative AI platforms. This role contributes to creating a competitive advantage for Citi’s lines of business by developing and delivering high‑impact, scalable AI solutions primarily using Python, while also leveraging Node.js and TypeScript. The ideal candidate is a skilled polyglot engineer with a proven track record in building enterprise‑grade products, who will participate in 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, Node.js, 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, Node.js, 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
5+ years of experience in the software industry, with a strong emphasis on building enterprise software. 4+ years of relevant experience developing and implementing scalable and robust platforms, applications, and services using modern libraries and frameworks (e.g., Python: FastAPI, Flask, Pandas, Scikit‑learn, Hugging Face; Node.js: Express, NestJS; TypeScript). 3+ years of experience delivering complex backend solutions and services (e.g., 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. Master's degree is preferred. This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required. This job opening is for an existing job vacancy. 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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Citi's global Innovation Labs is seeking a versatile GenAI Platform Engineer to contribute to the design and development of cutting‑edge Generative AI platforms. This role contributes to creating a competitive advantage for Citi’s lines of business by developing and delivering high‑impact, scalable AI solutions primarily using Python, while also leveraging Node.js and TypeScript. The ideal candidate is a skilled polyglot engineer with a proven track record in building enterprise‑grade products, who will participate in 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, Node.js, 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, Node.js, 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
5+ years of experience in the software industry, with a strong emphasis on building enterprise software. 4+ years of relevant experience developing and implementing scalable and robust platforms, applications, and services using modern libraries and frameworks (e.g., Python: FastAPI, Flask, Pandas, Scikit‑learn, Hugging Face; Node.js: Express, NestJS; TypeScript). 3+ years of experience delivering complex backend solutions and services (e.g., 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. Master's degree is preferred. This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required. This job opening is for an existing job vacancy. 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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