Software Engineer, Knowledge and Search

About Mistral   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 democratize AI through high-performance, optimized, 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. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role Summary   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.   🧢 Reporting line : VP of Engineering 📍 Location : Paris (France) or London (UK)   What you will do   Key Responsibilities    The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.   Your responsibilities include (but may not be limited to): • 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 a range and cloud-native and on-premise services.   About you   • 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, CI/CD, Helm, K8s, Terraform...) • Good knowledge of cloud-native ecosystems • Autonomous and self-starter • Ability to communicate with influence   Now, it would be ideal if you had experience with: • AI/ML engineering     Hiring Process   Here is what you should expect: • Introduction call - 30 min • Hiring Manager Interview - 30 min • Live-coding Interview (Python) - 45 min • System Design Interview - 45 min • Optional: Deep Dive Interview (Staff/Lead specific) - 60 min • Culture-fit discussion - 30 min • References

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