GenAI Full-Stack Engineer

Overview

In this role you will help Citi build GenAI-powered platforms that boost developer productivity and support a growing enterprise ecosystem. You’ll contribute to the technical vision across frontend, backend, APIs, and cloud components, while collaborating with cross-functional partners. You will promote engineering excellence through DevSecOps, drive platform adoption, and mentor team members. This is a chance to shape a high-impact transformation at a global financial leader and work on cutting-edge AI-enabled solutions.

Pay / Benefits

• 27 days annual leave (plus bank holidays)
• Discretionary annual bonus
• Private medical care & life insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave

Responsibilities

• Design and deliver GenAI platforms with broad developer impact
• Shape and evolve the full-stack technical direction (frontend, backend, APIs, cloud, platform components)
• Collaborate with technology and business partners to align application strategy with priorities
• Promote DevSecOps practices and continuous improvement culture
• Drive adoption of developer platforms, automation, and engineering standards
• Mentor and advise team members to move projects forward

Key requirements

• 3-5 years of relevant software development experience
• Modern full-stack proficiency in Python and either frontend (TypeScript, React) or backend (Go)
• Proven experience with AI-enabled or Generative AI solutions in an enterprise setting
• Cloud-native development experience: Kubernetes, containers, microservices, event-driven architectures
• Solid understanding of distributed systems, resiliency, scalability, and performance engineering
• Knowledge of SQL and NoSQL databases and API design/integration patterns
• Strong collaboration and communication across teams
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Desirable: experience in financial services or regulated industries
• Desirable: contributions to open-source projects
• Desirable: experience with MLOps and deployment of ML models

• collaboration
• effective communication
• mentoring/leadership
• Python
• TypeScript
• React