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- Tasks: Design and implement scalable search capabilities to enhance user experience.
- Company: Leading AI technology company at the forefront of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI-driven search technology.
- Qualifications: 7+ years in backend development and expertise in distributed systems.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology company is seeking a talented software engineer to join their Knowledge and Search team. This position focuses on designing, implementing, and scaling search capabilities to meet user needs.
The ideal candidate will have over 7 years of experience in backend development, strong knowledge of distributed systems, and a Master's degree in a related field.
The role includes collaboration with data teams to enhance search performance and build scalable systems in a hybrid or onsite environment.
Senior Knowledge & Search Engineer: Build Scalable Retrieval in London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Knowledge & Search Engineer: Build Scalable Retrieval in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to scalable systems and search capabilities. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with distributed systems and backend development in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Knowledge & Search Engineer: Build Scalable Retrieval in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend development and distributed systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about search capabilities and how your background makes you a perfect fit for our Knowledge and Search team.
Showcase Your Collaboration Skills: Since this role involves working closely with data teams, mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend development skills and distributed systems knowledge. Be ready to discuss specific technologies you've worked with, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data teams, prepare examples of past collaborations. Highlight how you’ve contributed to team projects and improved search performance through teamwork.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios that relate to scalable search capabilities, as these will likely come up during the interview.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's current projects or future goals in AI technology. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.