GenAI Engineer - Python LLM & RAG in Finance in London

GenAI Engineer - Python LLM & RAG in Finance in London

London Full-Time 180000 - 180000 £ / year (est.) No working from home possible
Client Server

At a Glance

  • Tasks: Collaborate on Python development and RAG systems in finance.
  • Company: Client Server, a leading tech firm in London.
  • Benefits: Up to £180k salary, pension, private medical insurance, and training.
  • Other info: Enjoy a hybrid work model with great career growth potential.
  • Why this job: Join a supportive team and work on innovative financial technology.
  • Qualifications: Experience in Python development and a passion for technology.

The predicted salary is between 180000 - 180000 £ per year.

Client Server is looking for a GenAI Engineer / Software Developer in London for a 12 month Fixed Term Contract. This position involves collaboration with the Investment Technology Research team, focusing on Python development, RAG systems, and enabling others through technology.

The role offers a competitive salary of up to £180k and benefits including pension, private medical insurance, and ongoing training. A hybrid work model is also available, promoting a supportive team environment.

GenAI Engineer - Python LLM & RAG in Finance in London employer: Client Server

At Client Server, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is reflected in our ongoing training programmes and competitive benefits, including a generous salary package, pension, and private medical insurance. With a hybrid work model, we ensure a supportive environment where our GenAI Engineers can thrive and make a meaningful impact in the finance sector.

Client Server

Contact Details:

Client Server Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GenAI Engineer - Python LLM & RAG in Finance in London

Tip Number 1

Network like a pro! Reach out to folks in the finance and tech sectors, especially those working with GenAI or Python. A friendly chat can open doors you didn’t even know existed.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those related to RAG systems. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to GenAI. Practising with a friend can help you feel more confident when it’s your turn to shine.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace GenAI Engineer - Python LLM & RAG in Finance in London

Python Development
RAG Systems
Collaboration
Investment Technology
Software Development
Technical Enablement
Hybrid Work Model

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python development and RAG systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the GenAI Engineer position and how you can contribute to our Investment Technology Research team. Keep it engaging and personal!

Showcase Your Collaboration Skills:Since this role involves working closely with others, make sure to mention any past experiences where you’ve successfully collaborated on tech projects. We love seeing teamwork in action!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!

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 in relation to LLM and RAG systems. Be prepared to discuss specific projects you've worked on and how you've applied Python in a financial context.

Understand the Investment Technology Landscape

Familiarise yourself with the latest trends and technologies in investment technology. This will not only help you answer questions but also show your genuine interest in the field and how you can contribute to the team.

Showcase Your Collaboration Skills

Since this role involves working closely with the Investment Technology Research team, be ready to share examples of how you've successfully collaborated in past projects. Highlight your ability to enable others through technology.

Prepare Questions for Them

Think of insightful questions to ask about the team dynamics, ongoing projects, and the hybrid work model. This shows that you're engaged and serious about finding a good fit for both you and the company.