Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create cutting-edge AI products using frontier model APIs and ensure top-notch quality.
- Company: Join a dynamic team at Dex, a leader in AI-native solutions.
- Benefits: Earn up to £250,000 with equity options and flexible working arrangements.
- Other info: Exciting opportunities for growth in a fast-paced tech environment.
- Why this job: Make a real impact in the AI space while working with innovative technologies.
- Qualifications: Strong full-stack skills in TypeScript or Python and experience with LLM APIs.
Dex is seeking an AI Product Engineer to work in London on building products using frontier model APIs. This hybrid to fully on-site position offers a salary of up to £250,000.
The successful candidate will be responsible for:
- Creating production-level AI features
- Designing workflows
- Ensuring product quality through effective evaluation
Strong full-stack engineering skills in TypeScript or Python and production experience with LLM APIs are essential. Join a dynamic team delivering real user solutions in AI-native companies.
AI Product Engineer: Build Real Products with LLMs (Equity) employer: Dex
Contact Detail:
Dex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer: Build Real Products with LLMs (Equity)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM APIs or full-stack engineering. This is your chance to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI product engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace AI Product Engineer: Build Real Products with LLMs (Equity)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full-stack engineering skills in TypeScript or Python. We want to see how your experience aligns with building production-level AI features, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the AI Product Engineer role. Mention specific projects where you've worked with LLM APIs and how you’ve designed workflows to ensure product quality.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and product engineering shines through without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our dynamic team.
How to prepare for a job interview at Dex
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript and Python, as these are crucial for the role. Brush up on your full-stack engineering skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your LLM Experience
Since production experience with LLM APIs is essential, prepare specific examples of how you've built or improved products using these technologies. Be ready to explain your thought process and the impact of your work.
✨Understand Product Evaluation
Familiarise yourself with effective evaluation methods for AI features. Be prepared to discuss how you ensure product quality and what metrics you consider important when assessing AI solutions.
✨Demonstrate Team Collaboration
This role is part of a dynamic team, so highlight your experience working collaboratively. Share examples of how you’ve contributed to team success and how you handle feedback and challenges in a team setting.