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 solutions.
- Benefits: Enjoy competitive pay, flexible work options, and continuous learning opportunities.
- Other info: Collaborate with passionate experts and access state-of-the-art development tools.
- Why this job: Make a real impact with advanced AI technologies 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.
Key Responsibilities:
- Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python.
- Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes.
- 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.
- Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices.
- Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks.
- Mentor & Collaborate: Act as a technical leader and mentor to junior engineers.
- Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritising rapid delivery and iterative development.
- Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions.
Minimum Qualifications:
- 10+ years of professional software engineering experience.
- Expert-level proficiency in Python.
- Extensive hands-on experience with Generative AI concepts, LLMs, and advanced agentic frameworks.
- Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
- Strong understanding of modern software development principles.
- Proficiency with Relational and Vector databases.
Preferred Qualifications (Bonus Points):
- Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.
- Experience with specific frameworks like Spring, N8N, or Flask.
- Familiarity with messaging and integration platforms.
- Experience with UI development using modern frameworks.
- Practical experience in model risk management.
- 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.
- Cutting-Edge Technology: Work with the latest Generative AI models and cloud-native technologies.
- Growth & Development: A culture of continuous learning and mentorship.
- Collaborative Environment: Join a highly skilled, passionate team.
- Flexible Work Environment: Embrace a hybrid working model.
- Global Scale: Build solutions that operate at a massive scale.
Join us to build the future of intelligent enterprise solutions!
Senior Staff Generative AI Engineer – VP (IC, Hands-On) in London employer: Citigroup, Inc.
Citi London is an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. With a competitive salary, generous annual leave, and a hybrid working model, employees enjoy a healthy work-life balance while having access to extensive learning and development resources. As a key player in the Equity Derivatives Technology team, you will have the opportunity to lead impactful projects and grow your career within a globally recognised financial institution.
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 Citigroup, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citigroup, Inc. 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 Citigroup, Inc.
✨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 Citigroup, Inc. 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.
