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- Tasks: Create innovative AI solutions and turn ideas into prototypes.
- Company: Leading trading platform in Greater London with a focus on innovation.
- Benefits: Competitive salary, work-life balance, and generous time off.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Master's in AI or Computer Science, strong Python skills, and LLM API experience.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading trading platform in Greater London is seeking an AI Product & Research Engineer to develop innovative AI solutions. The candidate will turn ideas into prototypes, implement workflows, and collaborate cross-functionally.
Ideal candidates should have:
- A Master's in AI or Computer Science
- Strong skills in Python
- Hands-on experience with LLM APIs
Attractive benefits include competitive salary, work-life harmony, and generous time off.
AI Product & Research Engineer — Rapid LLM Prototyping in London employer: capital.com
Contact Detail:
capital.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product & Research Engineer — Rapid LLM Prototyping in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and prototypes. This is your chance to demonstrate your hands-on experience with LLM APIs and Python, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI product development. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Product & Research Engineer — Rapid LLM Prototyping in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any hands-on experience with LLM APIs in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background in AI or Computer Science makes you a perfect fit for developing innovative solutions with us.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your ideas come across without unnecessary fluff!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at capital.com
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts and LLM APIs. Be ready to discuss your previous projects and how you've used Python to develop innovative solutions. This will show that you're not just familiar with the theory but can also apply it practically.
✨Prototype Like a Pro
Since the role involves turning ideas into prototypes, think of a few examples from your past work where you successfully created a prototype. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
This position requires cross-functional collaboration, so be ready to talk about your teamwork experiences. Share specific instances where you worked with different teams or departments to achieve a common goal. Highlight your communication skills and how you adapt to different working styles.
✨Ask Smart Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers and make a lasting impression.
