At a Glance
- Tasks: Design and build cutting-edge Generative AI applications and intelligent agents.
- Company: Join Citi, a leader in innovative technology and enterprise operations.
- Benefits: Enjoy competitive salary, flexible work, and continuous learning opportunities.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact with advanced AI solutions in a dynamic environment.
- Qualifications: 10+ years in software engineering with expertise in Python and Generative AI.
The predicted salary is between 70000 - 90000 £ per year.
At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.
The Team: Innovating at Scale
Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving.
The Role:
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept. This is an Individual Contributor (IC) role with no direct people management responsibilities.
Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.
As a Staff Generative AI Engineer, you will:
- Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
- Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
- Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
- Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.
- Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
- Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain.
- Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
- Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritising rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
- Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organisational and regulatory standards.
Minimum Qualifications:
- 10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.
- Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services.
- Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks.
- Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
- Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments.
- Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.
- Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.
Preferred Qualifications (Bonus Points):
- Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.
- Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask.
- Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.
- Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications.
- Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
- A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.
Why You'll Love Working Here:
- Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.
- Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools.
- Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate.
- Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.
- Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration with the flexibility of working from home.
- Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.
Join us to build the future of intelligent enterprise solutions!
Senior Staff Generative AI Engineer – VP (IC, Hands-On) in London employer: Citibank (Switzerland) AG
Citi is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. As the Global Head of Client Experience, you will lead a talented team dedicated to enhancing client satisfaction through cutting-edge AI analytics and a client-centric culture. With ample opportunities for professional growth and a commitment to employee development, Citi stands out as a leader in the financial services sector, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Generative AI Engineer – VP (IC, Hands-On) in London
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We think you need these skills to ace Senior Staff Generative AI Engineer – VP (IC, Hands-On) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Citibank (Switzerland) AG.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citibank (Switzerland) AG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Citibank (Switzerland) AG
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Citibank (Switzerland) AG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
