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- Tasks: Join a team to build a cutting-edge Generative AI platform from the ground up.
- Company: Citi is a global bank committed to innovation and diversity.
- Benefits: Enjoy hybrid work, competitive salary, 27 days leave, and extensive perks.
- Why this job: Be part of a startup culture within Citi, tackling exciting engineering challenges.
- Qualifications: Experience in AI/ML, Python, and large-scale platform development required.
- Other info: This role offers a unique chance for skill development and career growth.
The predicted salary is between 43200 - 72000 £ per year.
Are you looking for a career move that will allow you to take a strategic project from zero to one? Bring your extensive coding experience and passion for change to be part of a team building a green-field development at scale. Join Citi’s Common Platform Engineering team as a founding member creating the Generative AI platform for Citi. Our scope includes large-scale engineering challenges on-premise and cloud, utilizing cutting-edge LLMs to address user needs across the bank. We are a startup within Citi, actively coding and innovating. We seek creative self-starters with experience in developing large-scale data, finance, and analytics platforms.
Responsibilities include:
- Designing and building reliable, high-quality software
- Collaborating with development teams, quants, and subject-matter experts
- Ensuring platform compliance with Citi's security and SDLC standards
- Operating and evolving the platform at scale
Requirements:
- Experience with AI/ML, especially LLMs
- Proficiency in Python
- Knowledge of distributed systems and system architecture
- Experience building and operating large platforms at scale
- Familiarity with Go, Java, or similar languages
- Knowledge of Kubernetes, Kafka, RESTful APIs
- Experience with at least one public cloud provider
What we offer:
- A unique opportunity to be part of a new venture, facing daily challenges that foster skill development and career growth.
- Benefits include: Hybrid work (up to 2 days remote), competitive salary with annual reviews, additional benefits such as 27 days leave, bonuses, private healthcare, life insurance, pension, parental leave, discounts, and learning resources.
Citi is committed to diversity and inclusion, ensuring a workplace where everyone feels comfortable and empowered. If you are passionate about coding, Generative AI, and building new teams, apply today. This description provides a high-level overview; other duties may be assigned.
Generative AI Common Platform Engineer - SVP employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Common Platform Engineer - SVP
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and large language models (LLMs). Being able to discuss recent advancements or projects in this field during your conversations can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Network with professionals already working in AI/ML or related fields. Attend industry meetups or webinars where you can connect with potential colleagues or mentors who might provide insights into the role and the company culture at Citi.
✨Tip Number 3
Showcase your coding skills through personal projects or contributions to open-source platforms. Having tangible examples of your work, especially in Python or distributed systems, can give you an edge when discussing your experience with the hiring team.
✨Tip Number 4
Prepare to discuss how you would approach building scalable platforms. Think about specific challenges you've faced in previous roles and how you overcame them, as this will highlight your problem-solving abilities and readiness for the responsibilities of the position.
We think you need these skills to ace Generative AI Common Platform Engineer - SVP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML, particularly LLMs, and showcases your proficiency in Python. Include any relevant projects that demonstrate your ability to build large-scale platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for coding and innovation. Mention specific experiences where you've successfully collaborated with teams to develop software solutions, and how you align with Citi's mission of diversity and inclusion.
Showcase Relevant Skills: Clearly outline your knowledge of distributed systems, system architecture, and any experience with Kubernetes, Kafka, or RESTful APIs. This will help the hiring team see your fit for the role at a glance.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that all information is accurate and well-presented. A polished application reflects your attention to detail.
How to prepare for a job interview at Citi
✨Showcase Your Coding Skills
Be prepared to discuss your coding experience in detail, especially with Python and any other relevant languages like Go or Java. You might be asked to solve coding problems on the spot, so brush up on your algorithms and data structures.
✨Demonstrate Your Knowledge of AI/ML
Since the role focuses on Generative AI, make sure you can articulate your understanding of AI/ML concepts, particularly large language models (LLMs). Be ready to discuss any projects you've worked on that involved these technologies.
✨Understand Distributed Systems
Familiarise yourself with distributed systems and system architecture, as this is crucial for the role. Be prepared to explain how you've built or operated large platforms at scale and the challenges you faced.
✨Emphasise Collaboration Skills
This position requires collaboration with various teams, including quants and subject-matter experts. Highlight your teamwork experiences and how you've successfully worked with diverse groups to achieve project goals.
