AI-Augmented Full-Stack Engineer

About the Role: Where Your Engineering Actually Ships

The AI-Augmented Full-Stack Engineer is a senior individual contributor position within Citi's Banking Technology organization. This team builds and maintains the applications and platforms that put real capital to work for clients across one of the world's largest financial institutions.

This is a hands-on engineering role. You will design, develop, and ship full-stack solutions while helping shape how the team builds software - embedding AI into the engineering craft as a natural and practical part of daily work, not as an afterthought.

If you are a senior engineer who writes excellent code, thinks clearly about systems, and wants to work on problems that matter - this role was written for you.

Key Responsibilities:

• Full-Stack Design and Delivery: Design, develop, and deliver full-stack applications using Java and Spring Boot on the backend and Angular on the frontend, with meaningful input into technical direction and architectural decisions.

• AI-Augmented Engineering Practice: Embed AI development tools such as Devin, GitHub Copilot, Claude, and Codex into your daily engineering workflow as the default way of working - and actively drive that same adoption across the team. Establish shared standards for prompt engineering, code review, and quality guardrails so that AI-augmented development becomes the team's natural practice, not the exception.

• Technical Leadership and Engineering Excellence: Set the technical bar for the team through thoughtful code reviews, clear architectural guidance, and hands-on problem solving. Mentor mid-level engineers not through instruction alone, but by demonstrating what excellent engineering looks like in practice every day.

• Data Management and Architecture: Apply sound data design principles across both relational and NoSQL databases - Oracle and MongoDB - with a focus on data integrity, schema design, and query performance. Champion data standards that keep systems maintainable and trustworthy at scale.

• Cloud-Native Engineering Mindset: Bring a strong conceptual understanding of modern cloud-native principles - infrastructure as code, containerization with Docker and OpenShift, Kubernetes-based orchestration, and engineering practices that optimize for delivery throughput and system stability. You do not need to own the pipes, but you need to think about them.

• Engineering Judgement and Accountability: Make decisions with the full picture in mind - technical quality, business impact, security, and regulatory context. Bring the kind of professional judgement that earns trust with stakeholders and keeps the team building with confidence.

What You Bring

Experience and Qualifications

• 6+ of software engineering experience, with meaningful time in a senior, lead, or principal capacity on complex, enterprise-grade systems

• Experience delivering software in a financial service, fintech, or similarly regulated, high-complexity environment

• Proven ability to provide technical leadership and mentor engineers in a senior individual contributor capacity

• Strong communication skills, with the ability to articulate technical concepts clearly to engineering and business audiences alike

• Bachelor's degree in computer science, Engineering, or equivalent experience

Technical Skills

• Backend: Strong working knowledge of Java and the Spring Framework ecosystem

• Frontend: Hands-on experience with Angular. Familiarity with React or other modern frameworks is a plus

• Databases: Working knowledge of both relational and NoSQL databases, including Oracle and MongoDB

• AI Fluency: Practical, daily use of AI coding tools with a solid conceptual understanding of how they work - including prompt engineering, context window management, retrieval-augmented generation (RAG), tokenization, and grounding techniques. You know enough about what is happening under the hood to use these tools with intention, not just habit

• Cloud Awareness: Familiarity with cloud-native concepts - containerization, infrastructure as code, CI/CD practices, and delivery metrics such as DORA. Comfortable reasoning about system design in a cloud-native context

Preferred

• Experience with Angular at production scale; React or Vue as additional frontend exposure

• Exposure to agentic AI patterns, MCP, A2A workflows, or agent development frameworks such as Google ADK

• Familiarity with 12-Factor App principles and microservices architecture

• Advanced degree in Computer Science, Engineering, or a related technical field

What Success Looks Like

• You have personally delivered features that are in production, trusted by the business, and cited as examples of how good engineering is done here.

• Stakeholders - technical and non-technical - come to you with hard problems because they trust your judgement and your ability to translate complexity into a clear, actionable direction.

• The engineers around you are measurably better for working alongside you. Not because you ran workshops, but because your code, your reviews, and your approach set a standard worth following.

• You have shaped how AI is used on this team - not by mandating tools, but by demonstrating what thoughtful, effective AI-augmented engineering actually looks like in practice.

• Problems that previously stalled the team get solved. You are the person who unblocks things - through technical depth, clear thinking, and the confidence to make a call.

Why Join Us?

• Solve Problems That Are Hard to Find Elsewhere: The systems here run at a scale and complexity that few engineering environments can match.

• Own the AI Practice, Not Just Use It: You will define how this team adopts, evaluates, and improves its use of AI - from day one.

• Senior IC With Real Autonomy: High visibility, high trust, and the freedom to do serious work without a people management overhead.

• An Institution That Invests in Its Engineers: Access to modern infrastructure, strong internal tooling, and a team that takes the craft seriously.