GenAI Engineer - Python LLM & RAG in Finance

GenAI Engineer - Python LLM & RAG in Finance

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 employer: Client Server

Client Server is an excellent employer, offering a dynamic work environment in London where innovation meets collaboration. With a competitive salary package, comprehensive benefits including pension and private medical insurance, and a strong emphasis on ongoing training, employees are empowered to grow their skills and advance their careers. The hybrid work model fosters a supportive team culture, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.

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

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 any related to RAG systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to GenAI and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

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

Python Development
GenAI Engineering
RAG Systems
Collaboration
Investment Technology
Software Development
Technical Support

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 your previous projects and how you've used Python to solve complex problems in finance.

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.

Prepare for Technical Questions

Expect technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges and be ready to explain your thought process clearly, as collaboration is key in this role.

Showcase Your Collaborative Spirit

Since this role involves working closely with a team, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you enable others through technology.