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For Companies At a Glance
- Tasks: Join our team to deploy and integrate cutting-edge AI models and APIs.
- Company: Mistral AI is revolutionising AI with open-source solutions that enhance creativity and productivity.
- Benefits: Enjoy competitive salary, health insurance, transportation allowance, and generous parental leave.
- Why this job: Be part of a dynamic team shaping the future of AI while making a meaningful impact.
- Qualifications: 5+ years in backend development with Python; strong skills in Docker and K8s required.
- Other info: Remote work available; monthly office visits required for collaboration.
The predicted salary is between 43200 - 72000 £ 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 experienced backend software engineers (Python, Docker, K8s) to join our Engineering team. You'll help deploy and integrate our models and APIs across multiple infrastructure configurations, from leading cloud service providers to self-hosted (private cloud and on-premises) solutions. You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology.
What you will do
- New releases – you will ensure fast and reliable launch of new models and new features to customers
- Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
- Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
- Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
- Resource Optimization – you will help measure and optimize the allocation of the chips that serve our models to make the best use of costly resources
About You
- 5+ years of relevant professional work experience
- Master’s degree in Computer Science, Information Technology or a related field
- Excellent proficiency in backend software development (Python)
- Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
- Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
- Autonomous and self-starter profile
- Ability to communicate with influence
Hiring Process
Here is what you should expect:
- Introduction call - 45 min
- Hiring Manager interview - 30 min
- Live-coding interview (Python) - 35 min
- System Design interview - 35 min
- Culture-fit discussion - 30 min
- Reference checks
Location
We do not require you to be based in a specific location as long as it is in one of the countries listed in this job posting. However, you will be expected to be available for a monthly visit to one of our offices:
- If based in France, Germany or Spain: we will ask you to come to our Paris office 3 days per month
- If based in the UK: we will ask you to come to our London office 3 days per month
We will cover 100% of inter-country travelling and 50% of intra-country travelling fees. Besides, please note that we ask all new hires to come to our Paris HQ for the first month of their onboarding (accommodation and travelling covered).
What we offer
- Competitive cash salary and equity
- Health insurance
- Transportation allowance
- Sport allowance
- Meal vouchers
- Private pension plan
- Generous parental leave policy
- Visa sponsorship currently not available for Germany, available for France only
Software Engineer, Deployment (EU) employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Deployment (EU)
✨Tip Number 1
Familiarise yourself with Mistral AI's products and services. Understanding their AI platform and how it integrates into various environments will help you demonstrate your knowledge during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in the context of backend development. Be prepared to showcase your coding abilities during the live-coding interview by practising common algorithms and deployment scenarios.
✨Tip Number 3
Network with current or former employees of Mistral AI. Engaging with them can provide insights into the company culture and the specific challenges they face, which can be invaluable for your interviews.
✨Tip Number 4
Prepare to discuss your experience with infrastructure management tools like Docker and Kubernetes. Be ready to explain how you've used these technologies in past projects to optimise resource allocation and ensure high availability.
We think you need these skills to ace Software Engineer, Deployment (EU)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend software development, particularly in Python, Docker, and K8s. Use specific examples of projects where you've deployed models or worked with cloud ecosystems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with Mistral's mission. Mention your experience in infrastructure management and your ability to work autonomously, as these are key aspects of the role.
Showcase Relevant Projects: If you have any relevant projects or contributions to open-source software, include them in your application. This can demonstrate your practical experience and commitment to the field.
Prepare for Technical Interviews: Since the hiring process includes live-coding and system design interviews, brush up on your Python coding skills and be ready to discuss your approach to deploying LLMs in various environments.
How to prepare for a job interview at Mistral AI
✨Brush Up on Python
Since the role requires excellent proficiency in backend software development with Python, make sure to review key concepts and be prepared for live-coding challenges. Practise common algorithms and data structures, as well as any specific frameworks or libraries relevant to the job.
✨Understand Deployment Environments
Familiarise yourself with Docker, Kubernetes, and CI/CD processes, as these are crucial for the deployment team. Be ready to discuss your experience with different cloud ecosystems and how you’ve tackled deployment challenges in various environments.
✨Prepare for System Design Questions
The system design interview will test your ability to architect scalable solutions. Think about how you would design systems that integrate AI models into existing infrastructures, focusing on performance, safety, and resource optimisation.
✨Show Your Team Spirit
Mistral values a collaborative and low-ego culture. Be prepared to share examples of how you've worked effectively in teams, resolved conflicts, and contributed to a positive work environment. Highlight your communication skills and ability to influence others.
