Full-Stack Senior Software Engineer, GenAI Data Products and Platform; VP

The Opportunity

This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale.

Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model—it's the testing, evaluation, and feedback loops that make it better every day.

As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale.

• Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality.
• Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components.
• Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned.
• Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non-negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance.
• Set the technical direction. As a VP-level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform.
• Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together.

We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

• Strong experience building and deploying production applications across the full stack
• Proficiency in multiple languages, including Python and Type Script/JavaScript (experience with Go or Java is a plus)
• Deep experience working with data—whether that's building data pipelines, designing analytics systems, or creating data-driven products
• Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular
• Strong SQL skills and experience with relational databases like Postgres
• Experience building backend services and APIs that handle data at scale
• Comfort with containerised environments and cloud infrastructure (we use Open Shift/Kubernetes)
• Strong understanding of CI/CD pipelines, testing frameworks, and automation
• Experience with data visualisation tools and techniques

A data-driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights.

A solutions-first approach. You find the best path to solve the problem, whether…