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- Tasks: Join our team to develop and integrate innovative generative AI solutions.
- Company: Citi, a leading tech-driven financial services company.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Make an impact in the exciting field of generative AI and collaborate with experts.
- Qualifications: Degree in Computer Science or related field; experience in AI/ML development.
- Other info: Dynamic work environment with a focus on teamwork and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions. In this role, you’ll work closely with senior developers, AI architects, and business stakeholders to deliver impactful AI-driven features and products.
Key Responsibilities:- Implement and fine-tune generative AI models under the guidance of senior team members.
- Contribute to prompt engineering and development of AI-powered workflows.
- Assist with the deployment, monitoring, and maintenance of AI models in production environments.
- Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
- Perform data preprocessing, feature engineering, and API development for AI applications.
- Participate in code reviews, testing, and documentation to ensure quality and reliability.
- Stay updated with advancements in GenAI and share relevant learnings with the team.
- Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras).
- Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).
- Exposure to RAG systems and basic knowledge of hybrid search techniques.
- Understanding of model deployment and containerization (Docker).
- Proficiency in Python for AI development, data preprocessing, and scripting.
- Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
- Understanding of version control systems (Git).
- Aware of AI compliance, data privacy, and responsible AI principles.
- Strong teamwork and communication abilities.
- Willingness to learn new AI/ML technologies and frameworks.
- Analytical mindset and attention to detail.
- Openness to feedback and continuous improvement.
- Bachelor’s degree or Master’s degree in Computer Science, Data Science, AI, or a related field.
- Professional experience in AI/ML development, with exposure to Generative AI.
- Experience delivering AI/ML projects in a collaborative setting.
- Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
Gen AI Engineer, Assistant Vice President in London employer: Citibank (Switzerland) AG
Contact Detail:
Citibank (Switzerland) AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer, Assistant Vice President in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We can’t stress enough how valuable personal connections can be when it comes to landing that Gen AI Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your work with generative AI tools and frameworks. We love seeing practical examples of what you can do, so make sure to have them ready for interviews.
✨Prepare for Technical Interviews
Brush up on your coding skills and be ready to tackle some technical challenges. We recommend practicing common algorithms and data structures, as well as being prepared to discuss your previous projects in detail. It’s all about showing us what you know!
✨Apply Through Our Website
When you find a job that fits, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace Gen AI Engineer, Assistant Vice President in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the job description. We want to see how your background in AI/ML aligns with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. We love seeing genuine enthusiasm for generative AI and collaboration.
Showcase Your Technical Skills: Be specific about your experience with machine learning frameworks and generative AI tools. We’re looking for hands-on experience, so mention any projects or applications where you’ve used these technologies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Citibank (Switzerland) AG
✨Know Your Generative AI Stuff
Make sure you brush up on your knowledge of generative AI models and frameworks like PyTorch or TensorFlow. Be ready to discuss your hands-on experience with these tools, as well as any projects you've worked on that involved prompt engineering or model fine-tuning.
✨Showcase Your Teamwork Skills
Since this role involves collaboration with senior developers and data scientists, be prepared to share examples of how you've successfully worked in a team. Highlight your communication skills and how you’ve contributed to group projects, especially in AI/ML settings.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your analytical mindset. Prepare to discuss specific challenges you've faced in AI development and how you approached solving them. This could include anything from data preprocessing to deploying models in production.
✨Stay Updated and Share Insights
Show your passion for the field by discussing recent advancements in generative AI that excite you. Mention any relevant learnings you've come across and how you can bring that knowledge to the team. This demonstrates your willingness to learn and contribute to continuous improvement.