Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and prototype innovative AI tools for the legal sector.
- Company: Pioneering legal tech firm in central London with a startup vibe.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in AI for law.
- Qualifications: Strong Python skills and familiarity with AI models required.
- Other info: Collaborative environment backed by leading venture capitalists.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering legal technology firm in central London seeks an ambitious AI Product Engineer to own the development of impactful AI tools. The successful candidate will design and prototype AI systems, converting abstract ideas into functional software. We value self-starters with strong technical skills in Python and familiarity with AI models. Join us at the cutting edge of applied AI in law, working in a collaborative startup environment backed by leading VCs.
AI Product Engineer: Build & Launch Enterprise AI Tools in London employer: Luminance
Contact Detail:
Luminance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer: Build & Launch Enterprise AI Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the legal tech space, especially those working with AI. Attend meetups or webinars to connect with potential employers and show them your passion for AI tools.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and any AI models you've worked on. This is your chance to demonstrate how you can turn abstract ideas into functional software.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and technical questions. We recommend practising coding challenges and discussing your thought process, as this will highlight your problem-solving skills.
✨Tip Number 4
Don't forget to 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 Engineer: Build & Launch Enterprise AI Tools in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in Python and any experience you have with AI models. We want to see how you can turn those abstract ideas into functional software, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that relate to the role of AI Product Engineer. This shows us you’re genuinely interested in joining our team.
Be Yourself: We love self-starters! Let your personality shine through in your application. Share your passion for AI and how you envision contributing to our collaborative startup environment.
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 at the forefront of legal tech.
How to prepare for a job interview at Luminance
✨Know Your AI Models
Make sure you brush up on the latest AI models and their applications, especially in the legal tech space. Be ready to discuss how you've used these models in past projects or how you would approach building new ones.
✨Showcase Your Python Skills
Since strong technical skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that relate to AI tool development.
✨Prepare for Scenario Questions
Expect questions that ask you to convert abstract ideas into functional software. Think of examples from your experience where you took a concept and turned it into a working product, and be ready to explain your thought process.
✨Emphasise Collaboration
This role is in a collaborative startup environment, so highlight your teamwork experiences. Share stories about how you’ve worked with others to achieve a common goal, especially in tech projects.