At a Glance
- Tasks: Build and ship AI features to transform unstructured data into structured knowledge.
- Company: Dynamic industrial AI scale-up in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for real-world impact.
- Other info: Collaborative environment with great potential for career growth.
- Why this job: Join a team tackling exciting AI challenges and shape the future of manufacturing.
- Qualifications: Strong Python skills and experience with AI production systems required.
The predicted salary is between 60000 - 80000 £ per year.
An industrial AI scale-up in the UK is looking for a Senior AI Software Engineer to help expand their platform. The ideal candidate will build and ship AI features that turn unstructured operational data into structured knowledge for manufacturers. With a focus on delivery, this role also involves extending the knowledge graph platform and integrating RAG systems. Candidates should have strong Python skills and experience with AI production systems. This position offers a hybrid work model and opportunities to tackle real-world AI challenges.
Hybrid Senior AI Engineer — Production RAG & Graph in London employer: Wave Talent
Wave Talent is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Senior Fullstack Engineers looking to make a significant impact in the tech industry. With a competitive salary and equity options, employees benefit from a hybrid working model that promotes work-life balance, alongside ample opportunities for professional growth and mentorship. Located in London, the company offers a vibrant environment where creativity thrives, making it an ideal place for those eager to contribute to cutting-edge AI-powered solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Senior AI Engineer — Production RAG & Graph in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working in companies similar to the one you're eyeing. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and RAG systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI challenges and solutions. Be ready to discuss how you've tackled similar problems in the past, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Hybrid Senior AI Engineer — Production RAG & Graph in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong Python skills and any experience you have with AI production systems. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your experience can help us expand our platform and tackle those real-world AI challenges we’re facing.
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 your qualifications shine 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 in our hybrid work model!
How to prepare for a job interview at Wave Talent
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around production systems and knowledge graphs. Be ready to discuss how you've used Python in past projects and how it relates to the role. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled real-world AI challenges in previous roles. Think about the problems you faced, the solutions you implemented, and the impact they had. This will demonstrate your ability to deliver results and think critically under pressure.
✨Understand Their Platform
Do some homework on the company's platform and its current capabilities. Familiarise yourself with their approach to turning unstructured data into structured knowledge. This will help you ask insightful questions during the interview and show that you're genuinely interested in contributing to their mission.
✨Be Ready for Technical Questions
Expect technical questions that assess your coding skills and understanding of AI concepts. Practice coding challenges in Python and be prepared to explain your thought process. This will help you demonstrate your technical prowess and problem-solving abilities effectively.
