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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Experience in the financial industry is a significant advantage