At a Glance
- Tasks: Design and operate a fleet-management framework for reliable delivery across all accounts.
- Company: Join Mistral AI, a leader in cutting-edge AI technology.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for growth.
- Other info: Be part of a pioneering team that values innovation and autonomy.
- Why this job: Shape the future of AI with impactful projects in a fast-paced environment.
- Qualifications: Experience in SRE or production engineering with a focus on security and reliability.
The predicted salary is between 72000 - 88000 £ per year.
Mistral AI is seeking a founding SRE/Production Engineer to design and operate a fleet-management framework that ensures reliable delivery across all accounts, both hosted and customer-hosted. You will build scalable systems, own on-call processes, and drive security and observability to new levels.
You will work in a fast-paced, autonomous environment, bridging cutting-edge AI research with production-grade reliability, and helping shape the security-first culture across the Applied AI.
Founding Applied AI SRE Engineer employer: Mistral AI
Mistral AI is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets collaboration. With competitive salaries, equity options, and comprehensive health benefits, we prioritise employee well-being and growth, fostering a culture that encourages continuous learning and development in the exciting field of multilingual AI research.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Applied AI SRE Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mistral AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mistral AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mistral AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mistral AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Founding Applied AI SRE Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mistral AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mistral AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mistral AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mistral AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
