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- 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.
- Why this job: Tackle exciting AI challenges and contribute to cutting-edge technology.
- Qualifications: Strong Python skills and experience with AI production systems required.
- Other info: Join a collaborative team and grow your career in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ 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 employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior AI Engineer — Production RAG & Graph
✨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 do and set you apart from the crowd.
✨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. We want to see your thought process and how you approach real-world scenarios.
✨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 Hybrid Senior AI Engineer — Production RAG & Graph
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 excited about.
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 knowledge of AI production systems and the specific technologies mentioned in the job description. Be ready to discuss your experience with Python and how you've used it to build and ship AI features in the past.
✨Understand the Company’s Mission
Research the industrial AI scale-up and understand their goals, especially how they turn unstructured operational data into structured knowledge. This will help you align your answers with their mission and show that you're genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions related to RAG systems and knowledge graphs. Prepare by reviewing relevant projects you've worked on and be ready to explain your thought process and problem-solving strategies in detail.
✨Showcase Your Problem-Solving Skills
Since this role involves tackling real-world AI challenges, think of examples where you've successfully solved complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.