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- Tasks: Own AI features and design RAG pipelines in a leading finance firm.
- Company: Top finance firm in Greater London with a focus on innovation.
- Benefits: Competitive pay, exceptional benefits, and flexible work options.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 3+ years in software engineering with Python and AI expertise.
- Other info: Emphasises experimentation and accuracy in AI outputs.
The predicted salary is between 60000 - 80000 £ per year.
A leading finance firm in Greater London seeks an AI Engineer to take end-to-end ownership of AI features, including designing and maintaining Retrieval-Augmented Generation (RAG) pipelines. The ideal candidate will have a solid background in Python and AI methodologies, with at least three years of software engineering experience. The role emphasizes experimentation and AI scepticism to ensure the accuracy of outputs. Competitive compensation and exceptional benefits are offered in a flexible work environment.
Senior AI Engineer: RAG Pipelines & Agentic AI in London employer: Partners Capital
Contact Detail:
Partners Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: RAG Pipelines & Agentic AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your RAG pipelines or any AI projects you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and AI methodologies, and be ready to discuss how you approach experimentation and scepticism in your work.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to showcase your talents directly to the hiring team. Let's get you that dream job!
We think you need these skills to ace Senior AI Engineer: RAG Pipelines & Agentic AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and AI methodologies in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Be Specific About Your Experience: When detailing your software engineering experience, be specific about the projects you've worked on. We love to see examples of your end-to-end ownership of AI features, especially if they relate to RAG pipelines.
Emphasise Experimentation: Since the role focuses on experimentation and AI scepticism, share any relevant experiences where you’ve tested and validated AI outputs. This will show us that you’re not just about getting results, but also about ensuring their accuracy.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Partners Capital
✨Know Your RAG Pipelines
Make sure you understand Retrieval-Augmented Generation (RAG) pipelines inside out. Be ready to discuss your previous experiences with them, including any challenges you faced and how you overcame them. This will show your potential employer that you can take end-to-end ownership of AI features.
✨Show Off Your Python Skills
Brush up on your Python programming skills before the interview. Be prepared to solve coding problems or discuss your past projects that involved Python. Highlight specific libraries or frameworks you've used in AI development to demonstrate your technical expertise.
✨Embrace AI Scepticism
Since the role emphasises AI scepticism, be ready to discuss the importance of questioning AI outputs. Prepare examples where you’ve critically evaluated AI results and how you ensured accuracy in your work. This will show that you’re not just a coder but a thoughtful engineer.
✨Prepare for a Flexible Work Environment
Understand the dynamics of working in a flexible environment. Think about how you manage your time and collaborate with teams remotely. Be ready to share your strategies for staying productive and engaged, as this will resonate well with the company’s culture.