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- Tasks: Design and scale innovative search capabilities for AI-driven solutions.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping cutting-edge AI technology.
- Qualifications: 7+ years in software engineering with expertise in backend development.
- Other info: Collaborative culture with a focus on innovation and creativity.
The predicted salary is between 36000 - 60000 £ per year.
Join us to be part of a pioneering company shaping the future of AI. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratise AI through high-performance, optimised, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.
We are seeking a talented and experienced software engineer to join our Knowledge and Search engineering team. You will be responsible for designing, implementing and scaling our search capabilities supporting the needs of our users and internal systems.
Responsibilities:
- Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge).
- Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval.
- Owning our information retrieval systems serving both our internal needs as well as our enterprise customers.
- Ensuring that our search capabilities meet the increasing demands of our customers.
- Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across cloud-native and on-premise services.
Qualifications:
- 7+ years of relevant professional work experience.
- Master’s degree in Computer Science, Information Technology or a related field.
- Experience building and scaling distributed search engine systems.
- Excellent proficiency in backend software development (Python, Go, C++, Rust...).
- Solid proficiency in infrastructure management (Docker, K8s, Terraform...).
- Good knowledge of cloud-native ecosystems.
- Autonomous and self-starter.
- Ability to communicate with influence.
- Nice to have: AI/ML engineering.
- Infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...).
Software Engineer, Knowledge and Search employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Knowledge and Search
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Mistral AI on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the technical interview by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice. We want to show off our problem-solving skills and coding prowess!
✨Tip Number 3
Don’t forget to showcase your passion for AI! During interviews, share personal projects or experiences that highlight your enthusiasm for technology and innovation. It’s all about making that connection!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Software Engineer, Knowledge and Search
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer role. Highlight your experience with search engine systems and backend development, as these are key for us at Mistral AI.
Showcase Your Projects: Include specific projects that demonstrate your skills in building and scaling distributed systems. We love seeing real examples of your work, especially if they relate to search capabilities!
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for AI and how you can contribute to our team. Let us know why you’re excited about the role and what makes you a great fit for Mistral AI.
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’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Go, and Docker. Brush up on your knowledge of distributed search engine systems and be ready to discuss your past experiences with them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles, particularly around search capabilities or indexing. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving prowess.
✨Understand Mistral AI's Vision
Familiarise yourself with Mistral AI’s mission and products. Be ready to discuss how your skills can contribute to their goal of democratizing AI and enhancing user experience. This shows your genuine interest in the company and its objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future challenges Mistral AI is facing. This not only demonstrates your enthusiasm but also helps you gauge if the company culture aligns with your values.