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- Tasks: Join the Investment Technology team to develop innovative AI applications for finance.
- Company: Tech-driven global asset management firm based in East London.
- Benefits: Competitive salary of £100,000 and opportunities for professional growth.
- Other info: Exciting role with a focus on innovation in the financial sector.
- Why this job: Make a real impact in finance using cutting-edge GenAI technology.
- Qualifications: Strong background in GenAI and Python LLM development required.
The predicted salary is between 100000 - 100000 £ per year.
Client Server is seeking a GenAI Engineer specializing in Python LLM for a full-time role based in East London. Ideal candidates should have a strong background in GenAI and software development, specifically Python LLM RAG. This position offers a competitive annual salary of £100,000 and a chance to work within a tech-driven global asset management firm. The role entails joining the Investment Technology team and working on innovative applications of AI within the financial sector.
GenAI Engineer - Python & LLM for Finance (London) employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Engineer - Python & LLM for Finance (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. Join relevant groups and engage in discussions about GenAI and Python LLM – it’s a great way to get noticed!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to GenAI and Python LLM. This could be anything from personal projects to contributions to open-source – let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you can apply AI in finance. Practice common interview questions and think of examples that highlight your experience with Python LLM.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace GenAI Engineer - Python & LLM for Finance (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and LLM in your application. We want to see how your background aligns with the GenAI and software development aspects of the role.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. This shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Client Server
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around LLM and RAG. Be prepared to discuss your previous projects and how you've applied these technologies in real-world scenarios. Practising coding challenges can also help you feel more confident.
✨Understand the Financial Sector
Since this role is within a global asset management firm, it’s crucial to have a grasp of financial concepts and how AI can be leveraged in finance. Research recent trends in fintech and think about how GenAI can solve specific problems in this sector.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of GenAI and software development. We recommend reviewing common interview questions related to Python and LLM, and even preparing a few examples of how you've tackled challenges in past roles.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate your analytical thinking and problem-solving abilities. You might be given hypothetical scenarios related to AI applications in finance, so practice articulating your thought process clearly and logically.