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- Tasks: Lead the development of innovative AI products and mentor fellow engineers.
- Company: Join Citi's tech team, shaping the future of banking with cutting-edge technology.
- Benefits: Enjoy a hybrid work model, competitive salary, 27 days leave, and private medical care.
- Why this job: Be part of a fast-paced, collaborative environment focused on generative AI and real-world impact.
- Qualifications: Expertise in Golang, Kubernetes, and AI systems is essential; passion for learning is a must.
- Other info: This role offers unique challenges that will enhance your skills and career growth.
The predicted salary is between 48000 - 84000 ÂŁ per year.
We are Citi’s Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.
Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you’re proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM’s behaviour.
You might be a good fit if you:
- Bring your deep-dive software engineering expertise
- Thrive in a results-driven environment, where flexibility fuels impact
- Be a game-changer, ready to step beyond your designated role
- Love the synergy of pair programming? So do we!
- Seize the opportunity to explore machine learning and its real-world applications at scale. Jump in!
- A relentless passion to learn more about machine learning and generative AI, bringing your knowledge to shape Citi’s future.
What you’ll do within the Tech Strategy team:
- Lead the 0-1 build of multiple AI products
- Design and build high-quality, highly reliable products with user experience at the centre
- Be responsible for engineering innovative, best in class AI platforms for the bank
- Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank
- Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)
- Mentor and nurture other engineers to help them grow their skills and expertise
Experience That Will Help You Succeed In This Role:
- Deep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale
- Fluency in Golang is a must-have, (Python is a desirable addition)
- Experience designing control and sandboxing systems for AI experimentation
- Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
- Understanding of language models and transformers
- Rich understanding of vector stores and search algorithms
- Large-scale ETL development
- Direct engineering experience of high performance, large-scale ML systems
- Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process
- Have experience supporting fast-paced startup engineering teams
- A contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs, ML/Ops automation and more.
What We Believe In:
- We do not have boundaries between engineering and research, and we expect all our technical staff to contribute to both as needed.
- We take a product-focused approach and care about building solutions that are robust, scalable, and easy to use.
- We enjoy working in a fast-paced team tackling cutting-edge problems by constantly testing and learning.
- We enjoy pair programming for our products, we are lean in our approach and remove bureaucracy where we see it.
- We believe in delivering fast, iterating and pivot as we go, rather than defining the perfect solution upfront.
What we’ll provide you:
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- 27 days annual leave (plus bank holidays)
- A discretional annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
#LI-RH4
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Job Family Group: Technology
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Job Family: Applications Development
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Time Type: Full time
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries (“Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the EEO is the Law poster. View the EEO is the Law Supplement .
View the EEO Policy Statement .
View the Pay Transparency Posting .
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Principal Generative AI Software Engineer (Golang, Kubernetes) employer: Citigroup Inc.
Contact Detail:
Citigroup Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Generative AI Software Engineer (Golang, Kubernetes)
✨Tip Number 1
Showcase your experience with Kubernetes and Golang by discussing specific projects where you've implemented these technologies. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 2
Since the role emphasizes generative AI, be prepared to discuss your previous AI engineering projects in detail. Focus on the architectures you designed and the outcomes of your experiments with LLMs, as this will show your depth of knowledge in the field.
✨Tip Number 3
Emphasize your ability to work in a fast-paced, startup-like environment. Share examples of how you've thrived under pressure and contributed to team success, especially in roles that required flexibility and adaptability.
✨Tip Number 4
Demonstrate your passion for continuous learning in machine learning and generative AI. Mention any recent courses, certifications, or personal projects that reflect your commitment to staying updated with the latest trends and technologies in the field.
We think you need these skills to ace Principal Generative AI Software Engineer (Golang, Kubernetes)
Some tips for your application 🫡
Highlight Relevant Projects: Make sure to showcase any specific AI engineering projects you have worked on, especially those utilizing LLMs. Detail the complex architectures and systematic evaluations you conducted, as this aligns with what Citi is looking for.
Demonstrate Technical Expertise: Clearly outline your deep hands-on knowledge of Kubernetes and Golang. Provide examples of how you've developed backend platforms and engineered APIs that scale, as these are crucial skills for the role.
Showcase Your Passion for Learning: Express your relentless passion for machine learning and generative AI. Mention any continuous learning initiatives or projects that demonstrate your commitment to staying updated in this rapidly evolving field.
Tailor Your Application: Customize your CV and cover letter to reflect the values and culture of Citi. Emphasize your ability to work in a fast-paced environment, your experience with pair programming, and your approach to building robust, scalable solutions.
How to prepare for a job interview at Citigroup Inc.
✨Showcase Your AI Projects
Be prepared to discuss specific AI engineering projects you've worked on, especially those involving LLMs. Highlight the complexities and clever architectures you implemented, as well as any systematic evaluations of the models' behavior.
✨Demonstrate Your Technical Expertise
Make sure to emphasize your deep knowledge of Kubernetes and Golang during the interview. Be ready to discuss how you've developed scalable backend platforms and engineered APIs in your previous roles.
✨Emphasize Collaboration and Pair Programming
Since the team values pair programming, share examples of how you've successfully collaborated with others in a coding environment. Discuss how this approach has led to better product outcomes and personal growth.
✨Express Your Passion for Learning
Convey your relentless passion for machine learning and generative AI. Talk about how you stay updated with the latest trends and technologies, and how you plan to bring that knowledge to shape Citi's future.
