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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 in a dynamic environment with a focus on innovation.
- 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 common technical questions related to Python and LLM, and don’t forget to have a few examples ready that demonstrate your problem-solving skills in real-world scenarios.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
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 GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI and Python LLM. Be prepared to discuss specific projects you've worked on, especially those that relate to finance. This will show your potential employer that you not only understand the technology but can also apply it in a relevant context.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some technical challenges or case studies. Think about how you would approach real-world problems in the financial sector using GenAI. This is your chance to demonstrate your analytical skills and creativity in finding solutions.
✨Familiarise Yourself with the Company
Research Client Server and their role in the asset management industry. Understand their tech stack and recent projects. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask at the end of your interview. Inquire about the team dynamics, ongoing projects, or how they envision the future of AI in finance. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.