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- Tasks: Build innovative AI products using cutting-edge LLM APIs and design smart workflows.
- Company: Join a dynamic AI-native company in the heart of London.
- Benefits: Earn up to £250k, plus equity and flexible working options.
- Other info: Fast-paced environment with opportunities for rapid career growth.
- Why this job: Make a real impact by creating products that users love and rely on.
- Qualifications: Strong full-stack engineering skills, especially in TypeScript or Python.
Location: London, hybrid to fully on-site
Salary: Up to £250,000 + Equity
This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
The role involves building real products on top of frontier model APIs, not training models. Responsibilities include:
- Build production AI features on top of frontier model APIs
- Design agentic workflows, retrieval systems, and tool-use patterns
- Build evaluation harnesses that measure real product quality, not benchmark scores
- Iterate fast on prompts, model choice, and orchestration
Qualifications:
- Strong full-stack engineering, typically TypeScript or Python
- Hands-on production experience with LLM APIs
- Good instincts for where models work, where they fail, and how to test the difference
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
AI Product Engineer (Building with LLMs | £250k) employer: Dex
Contact Detail:
Dex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer (Building with LLMs | £250k)
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, especially those working with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing projects where you've built with LLM APIs. Whether it's a GitHub repo or a personal website, let us see your work in action. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Research the company culture and their products. We want you to be ready to discuss how you can contribute to building real products, not just theory. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we can give you tailored advice based on your profile. Don’t miss out on this opportunity to land that dream job!
We think you need these skills to ace AI Product Engineer (Building with LLMs | £250k)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and LLMs. Share any projects or experiences that highlight your skills in building with frontier model APIs. We love to see candidates who are genuinely excited about the technology!
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the role of AI Product Engineer. Highlight your full-stack engineering experience, especially with TypeScript or Python, and any hands-on work you've done with LLM APIs. This helps us see how you fit into our team.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
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 the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Dex
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially TypeScript and Python. Brush up on your experience with LLM APIs and be ready to discuss specific projects where you've built production AI features.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your instincts for identifying where models excel or fail. Be ready to discuss how you’ve tested these differences in past projects, as this will demonstrate your hands-on experience and critical thinking.
✨Understand the Company Culture
Research the company’s values and work culture. Since we work closely with their teams, showing that you understand their goals and how you can contribute will set you apart from other candidates.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems related to orchestration and evaluation harnesses, as well as discussing your approach to building agentic workflows. This will help you feel more confident and ready to impress.