GenAI Full-Stack Engineer

This is a chance to be at the heart of a major transformation within a global financial leader. We are building new GenAI-powered solutions from the ground up, and we’re looking for a skilled full-stack engineer to help us shape the future of our technology. You will work on high-impact projects and be part of a collaborative and forward-thinking team., * Build impactful GenAI solutions: Within your first year, you will contribute to the design and delivery of our new GenAI platforms, directly impacting the productivity of thousands of developers.

• Shape our technical direction: You will contribute to the technical vision for our full-stack ecosystems, encompassing the frontend, backend, APIs, cloud services, and platform components.
• Collaborate and innovate: You will work closely with technology and business partners to align our application strategy with organisational priorities and deliver key business projects with significant operational visibility.
• Champion engineering excellence: You will promote and apply DevSecOps principles, best practices in engineering, and a culture of continuous improvement.
• Drive platform adoption: You will support the adoption of our developer platforms, automation capabilities, and enterprise engineering standards.
• Mentor and lead: You will have the opportunity to act as a coach and advisor to other team members, exercising your judgment and autonomy to drive projects forward.

• Extensive software development experience: 3-5 years of relevant experience in building and shipping high-quality software.
• Modern full-stack expertise: Strong proficiency in Python and a deep understanding of either frontend (TypeScript, React) or backend (Go) development.
• AI and Generative AI experience: Proven experience working on AI-enabled or Generative AI solutions, preferably within an enterprise setting.
• Cloud-native development: Hands-on experience with Kubernetes, containers, microservices, and event-driven architectures.
• Solid architectural understanding: A good grasp of distributed systems, resiliency patterns, scalability, and performance engineering.
• Data and API proficiency: Knowledge of SQL and NoSQL databases, as well as API design and integration patterns.
• Strong collaboration skills: The ability to communicate effectively and collaborate across teams to achieve common goals.
• Educational Background: A Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Desirable:

• Experience with financial services or other regulated industries.
• Contributions to open-source projects.
• Experience with MLOps and the deployment of machine learning models.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.