At a Glance
- Tasks: Join us to develop high-performance backend systems and APIs for our innovative AI products.
- Company: Mistral AI, a pioneering tech company transforming society with cutting-edge AI solutions.
- Benefits: Enjoy competitive salary, health insurance, transportation allowance, and generous parental leave.
- Other info: Flexible remote policy with a focus on in-person collaboration for better teamwork.
- Why this job: Make a real impact on user experiences while working with a dynamic, collaborative team.
- Qualifications: Degree in Computer Science or equivalent, proficiency in Python or other backend languages.
The predicted salary is between 30000 - 50000 £ per year.
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.
Role summary
We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you'll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You'll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers at all levels from fresh graduates to senior and staff engineers who are eager to learn, collaborate and ship impactful products.
What you will do
- Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
- System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Code Quality - Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.
- Cross-functional Collaboration - Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
- Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.
About you
- Degree in Computer Science, Software Engineering, or equivalent practical experience.
- Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang). Engineers are assessed in their preferred language during a live coding session.
- Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
- Strong problem-solving abilities and attention to detail.
- Ownership mindset capable of shipping end-to-end features with minimal oversight.
- Excellent communication skills and collaborative attitude.
- Team-oriented, low-ego mindset and curiosity for learning.
Now, it would be ideal if you had experience with:
- Front-end development (Typescript, React, NextJS...) or full-stack exposure
- Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
- AI/ML engineering
- Observability and monitoring tools (Prometheus, Grafana, Datadog…).
- UX and product-centric mindset.
Hiring Process
- Introduction call - 45 min
- Live-coding interview - 45 min
- System Design interview - 45 min
- Hiring Manager interview - 30 min
- Deep Dive Interview (only for leads & staff engineers) - 60 min
- Culture-fit discussion - 30 min
- Reference checks
Location & Remote
This role is based in one of our European offices (Paris, France and London, UK). We will only consider candidates who either reside or are open to relocating there. We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity.
What we offer
- Competitive salary and equity (stock-options)
- Health insurance
- Transportation allowance
- Sport allowance
- Meal vouchers
- Private pension plan
- Generous parental leave policy
- Visa sponsorship
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Software Engineer, Backend employer: Mistral AI
Mistral AI is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth, we provide comprehensive benefits and unique opportunities to engage with high-stakes industries, ensuring that our team members can thrive while driving innovation in AI solutions. Join us to be part of a diverse workforce that values creativity and teamwork, making a meaningful impact in critical sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Backend
✨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 Software Engineer, Backend
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.