At a Glance
- Tasks: Lead hands-on development of innovative Generative AI applications and intelligent agents.
- Company: Join Citi, a global leader in pioneering enterprise operations with cutting-edge technology.
- Benefits: Enjoy competitive salary, flexible work options, and extensive learning resources.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact on global operations while working with the latest AI technologies.
- Qualifications: 10+ years in software engineering with expertise in Python and Generative AI.
The predicted salary is between 80000 - 100000 £ 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.
We’re not just adopting AI; we’re building the intelligence that powers our enterprise.
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 Open Shift), 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.
- 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 Open Shift 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.
You will have access to state‑of‑the‑art AI‑assisted development tools like Devin and Copilot to amplify your productivity and creativity.
- 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, prioritizing 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 organizational 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.
Full‑stack development experience is a distinct advantage.
- Extensive hands‑on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e. g., Lang Chain, Lang Graph, Google ADK.
Optionally Auto Gen, Crew AI, Llama Index, Semantic Kernel).
- Deep comfort and practical experience with containers and orchestration technologies, specifically Open Shift.
- 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, Postgre SQL) and Vector (preferably, pgvector) databases.
Preferred Qualifications (Bonus Points)
- Proficiency in additional programming languages such as Java, Java Script/Type Script, 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 Stream Lit 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 like Devin and Copilot.
- Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate.
Benefit from extensive learning resources including Udemy for Business and Pluralsight.
- 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 (3 days) with the flexibility of working from home (up to 2 days).
- Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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Senior Staff Generative AI Engineer – VP (IC, Hands-On) in London employer: Citi
Citi is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a fast-paced financial services environment. With generous benefits such as 27 days of annual leave, private medical care, and extensive learning resources, employees are empowered to grow both personally and professionally. Located in a vibrant city, Citi provides unique opportunities for collaboration across global teams, 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
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Citi or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Citi.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Citi.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Citi that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
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 Citi.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citi 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 Citi
✨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 Citi 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.
