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- 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 opportunity for career growth in a fast-paced environment.
- Why this job: Make a real impact in the AI space while working on innovative projects.
- 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) in London 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) in London
✨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 applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or full-stack engineering. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI product engineering. 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 seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Product Engineer: Build Real Products with LLMs (Equity) in London
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: Customise your application to reflect the job description. Mention your experience with LLM APIs and how you've designed workflows in the past. This helps us see you as a perfect fit for our team.
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: We encourage you to apply directly 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 involves working within a dynamic team, so highlight your collaboration skills. Share examples of how you’ve successfully worked with others to deliver user solutions, and be ready to discuss how you handle feedback and adapt to team needs.