At a Glance
- Tasks: Design and scale systems for document analysis in a collaborative environment.
- Company: Wexler, a leading AI company based in London.
- Benefits: Competitive salary, equity, and significant autonomy.
- Other info: In-person collaboration in London with entrepreneurial spirit.
- Why this job: Join a dynamic team and make an impact in AI for litigation.
- Qualifications: Experience in full-stack development and cloud services required.
The predicted salary is between 50000 - 65000 £ per year.
Wexler, a leading AI company in London, is seeking an entrepreneurial Software Engineer to design and scale systems for document analysis. You'll collaborate with founders and AI engineers, focusing on building customer-facing features and backend systems using Node.js, TypeScript, and Python.
Ideal candidates have robust experience in full-stack development and cloud services. The position offers a competitive salary, equity, and significant autonomy, with expectations for in-person collaboration in London.
Full-Stack Engineer – AI for Litigation Platforms employer: Wexler
Contact Detail:
Wexler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Engineer – AI for Litigation Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Wexler or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Node.js, TypeScript, and Python. This is your chance to demonstrate your full-stack prowess and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of AI in litigation. We recommend practising common coding challenges and discussing how you can contribute to customer-facing features.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Full-Stack Engineer – AI for Litigation Platforms
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with Node.js, TypeScript, and Python. We want to see how you've used these technologies in real projects, so don’t hold back!
Be Yourself: We’re looking for entrepreneurial spirits, so let your personality shine through! Share your passion for AI and how you envision contributing to our team. Authenticity goes a long way.
Tailor Your Application: Make sure to customise your application for this role. Mention specific projects or experiences that relate to document analysis and customer-facing features. We love seeing how you connect the dots!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Wexler
✨Know Your Tech Stack
Make sure you’re well-versed in Node.js, TypeScript, and Python. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects. It’s all about showing that you can hit the ground running!
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Wexler is looking for someone entrepreneurial, so highlight instances where you took initiative or innovated solutions, especially in document analysis or cloud services.
✨Understand the Company’s Vision
Do your homework on Wexler and their AI focus in litigation. Familiarise yourself with their products and think about how your skills can contribute to their goals. This will show your genuine interest and help you stand out as a candidate who aligns with their mission.
✨Be Ready for Collaboration Questions
Since the role involves working closely with founders and AI engineers, prepare examples of successful teamwork. Think about how you’ve collaborated in the past, especially in an in-person setting, and be ready to discuss how you can contribute to a positive team dynamic.