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- Tasks: Build and deploy LLM agents for document understanding and image recognition.
- Company: Leading AI platform developer in Greater London with a dynamic team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge AI team and make a real impact on innovative solutions.
- Qualifications: Over 2 years of experience in production LLM apps and strong Python skills.
- Other info: Collaborative environment focused on delivering effective AI solutions.
The predicted salary is between 50000 - 60000 £ per year.
A leading AI platform developer in Greater London is seeking a talented engineer to join their dynamic team. You will build and deploy LLM agents that enhance document understanding and image recognition, utilizing your strong Python skills and experience with APIs and prompt engineering.
The ideal candidate has over 2 years of experience in production LLM apps and enjoys collaborating to deliver effective AI solutions for a diverse range of customers.
AI Product Engineer — Production LLM Agents in London employer: V7
Contact Detail:
V7 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer — Production LLM Agents in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects, especially those involving document understanding and image recognition. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding APIs and prompt engineering. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace AI Product Engineer — Production LLM Agents in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in building LLM apps. Don't hold back on the details!
Talk About Your Experience with APIs: If you've worked with APIs before, let us know! Share specific examples of how you've integrated them into your projects. This will show us you're ready to hit the ground running.
Emphasise Collaboration: We love teamwork at StudySmarter! Mention any collaborative projects you've been part of and how you contributed to delivering effective AI solutions. It’s all about working together to achieve great results.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at V7
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in production LLM applications. They’ll likely want to see your problem-solving approach, so think of examples where you’ve tackled challenges using Python.
✨Familiarise Yourself with LLMs
Since the role focuses on building and deploying LLM agents, it’s crucial to understand the latest trends and technologies in this area. Prepare to talk about your experience with LLM apps and any specific frameworks or libraries you’ve worked with. This will show that you’re not just familiar but passionate about the field.
✨Showcase Your Collaboration Skills
This position values teamwork, so be prepared to share examples of how you’ve successfully collaborated with others in previous roles. Think about times when you’ve worked with cross-functional teams to deliver AI solutions and how you navigated any challenges that arose.
✨Prepare for Technical Questions
Expect some technical questions related to APIs and prompt engineering. Brush up on these topics and be ready to explain your thought process. Practising coding problems or mock interviews can help you feel more confident when tackling these questions during the actual interview.