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- Tasks: Develop core features for an AI-powered patent platform and collaborate with senior engineers.
- Company: Leading AI-first patent research platform in the UK.
- Benefits: Flexible working, pension plan, generous annual leave, and a supportive team environment.
- Why this job: Join a cutting-edge team and make a real impact in the world of AI and patents.
- Qualifications: Over 2 years of engineering experience, strong Python skills, and familiarity with Django.
- Other info: Bonus points for experience with NLP, LLMs, and AWS; onsite work three days a week.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI-first patent research platform in the UK seeks a software engineer to develop core features and collaborate with senior engineers.
Candidates should have over 2 years of engineering experience, strong Python skills, and familiarity with Django.
This position requires working onsite three days per week, and offers benefits including flexible working, a pension plan, and generous annual leave.
Bonus points for experience with NLP, LLMs, and AWS.
Backend Python Engineer: AI-powered Patent Platform employer: NLPatent
Contact Detail:
NLPatent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Python Engineer: AI-powered Patent Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at AI-powered companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially any that involve Django or AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. We recommend using platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
Don’t forget to 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 Backend Python Engineer: AI-powered Patent Platform
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially if you've worked with Django. Don't be shy—give us the details!
Tailor Your Experience: When you’re writing your application, tailor it to the job description. Mention your engineering experience and any relevant projects that align with our AI-powered patent platform. We love seeing how your background fits with what we do!
Be Clear and Concise: Keep your application clear and to the point. We appreciate a well-structured application that gets straight to the good stuff. Use bullet points if it helps make your experience stand out!
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 don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at NLPatent
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in real-world applications. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Django
Since this role requires familiarity with Django, take some time to review its key features and functionalities. Be prepared to talk about any projects where you've implemented Django, and think of specific examples that showcase your expertise.
✨Show Off Your AI Knowledge
If you have experience with NLP, LLMs, or AWS, make sure to highlight it during the interview. Prepare to discuss how these technologies can be integrated into a patent research platform, as this will show your understanding of the company's focus.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about the team dynamics, the tech stack they use, or how they approach collaboration on projects. This not only demonstrates your enthusiasm but also helps you gauge if it's the right fit for you.