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Software Engineer, Deployment - Palo Alto

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 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. The role is based in Palo Alto and reports to the Head of Engineering.


Detailed role description


Key Responsibilities 


As Software Engineer in the Deployment team, you will be responsible for:

• 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.


Qualifications & Profile


• 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


Our Culture


We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor

• Are you audacious enough?

• Make our customers succeed

• Ship early and accelerate

• Leave your ego aside 


What We Offer


• Ability to shape the exciting journey of AI and be part of the very early days of one of the hottest startup in AI

• A fun, dynamic multicultural team and collaborative work environment

• Opportunities for professional growth and development


💰 Competitive salary and bonus structure 

🚀 Generous Equity

🧑‍⚕️ Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)

👴🏻 Pension : 401K (6% matching)

🏝️ PTO : 18 days 

🚗 Transportation: Reimburse office parking charges, or $120/month for public transport

🤝 Coaching: we offer Betterup coaching on a voluntary basis

🏀 Sport: $120/month reimbursement for gym membership

🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)

🪪 Visa sponsorship


About Mistral 


At Mistral AI, our mission is to make AI ubiquitous and open. We are passionate about bridging the gap between technology and businesses of all sizes. We are a leading innovator in the field of open-source large language models.


Our advanced LLM solutions can be seamlessly deployed on any cloud, allowing for optimized integration and robust performance. Developers are using our API via la Plateforme to build incredible AI-first applications powered by our models that can understand and generate natural language text and code. We are multilingual at our core. We released le Chat, as a demonstrator of our models.


We are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our teams are distributed between France, UK and USA. We are creative, low-ego, team-spirited, and have been passionate about AI for years. We hire people who thrive in competitive environments, because they find them more fun to work in. We hire passionate women and men from all over the world.


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What You Should Know About Software Engineer, Deployment - Palo Alto, Mistral AI

If you're an experienced Software Engineer with a flair for deployment and a passion for AI, Mistral AI in Palo Alto is calling your name! Here, you'll be at the forefront of deploying cutting-edge models and APIs across a diverse range of infrastructures, from top cloud providers to tailored on-premises solutions. As a Software Engineer focusing on deployment, you'll collaborate closely with brilliant minds from research, product, and program management teams, ensuring customers receive the best technological experience possible. Your role will demand creativity and spirit as you ensure the seamless launch of new models and features, while also enhancing our testing infrastructure. With responsibilities ranging from maintaining AI safety on third-party platforms to optimizing resource allocation for our high-performing models, there's never a dull day at Mistral AI. With over five years of backend software development experience under your belt, particularly in Python and container orchestration like Docker, K8s, and Helm, your technical skills will shine here. Coupled with your mastery of cloud ecosystems, you'll navigate the unique challenges of deploying large language models. If autonomy and collaboration sound like your jam, and you're ready to thrive in a dynamic, multicultural environment committed to shaping the future of AI, Mistral AI is the place to be! Join us and unlock a promising career full of growth opportunities, competitive compensation, and a culture that values audacity and teamwork.

Frequently Asked Questions (FAQs) for Software Engineer, Deployment - Palo Alto Role at Mistral AI
What responsibilities does a Software Engineer in the Deployment team at Mistral AI have?

As a Software Engineer in the Deployment team at Mistral AI, your role encompasses launching new models and features quickly and reliably to our customers. You’ll build and enhance the infrastructure for deploying and integrating core technology, while ensuring AI safety across various third-party platforms. Additionally, you will focus on observability and monitoring, guaranteeing high availability of our services, and optimize resource allocation for efficient performance.

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What qualifications are necessary for the Software Engineer, Deployment position at Mistral AI?

To succeed as a Software Engineer, Deployment at Mistral AI, you should have a Master’s degree in Computer Science or a related field and over five years of relevant professional experience. Proficiency in backend software development using Python is essential, along with solid hands-on experience in Docker, Kubernetes, and cloud ecosystems. A self-starter attitude and strong communication skills are also vital.

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What tools and technologies should a Software Engineer at Mistral AI be familiar with?

A Software Engineer at Mistral AI should possess strong skills in backend development (particularly Python), and infrastructure management with tools like Docker, CI/CD, Kubernetes, Helm, and Terraform. Familiarity with managing and deploying large language models in various cloud environments is also crucial for the role.

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What is the company culture like at Mistral AI for a Software Engineer?

Mistral AI fosters a vibrant company culture that values audacity, teamwork, and customer success. As a Software Engineer in Deployment, you will experience a dynamic and collaborative work environment that encourages innovative thinking. Mistral AI values low-ego teamwork and seeks individuals who thrive in competitive, fun environments, making it an exciting place to grow your career.

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What benefits does Mistral AI offer to its Software Engineers?

Mistral AI provides a range of attractive benefits for its Software Engineers, including a competitive salary and bonus structure, equity options, comprehensive health care, a generous PTO policy, and reimbursement for transportation and gym memberships. Additionally, the company promotes professional growth through coaching and other development opportunities.

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Common Interview Questions for Software Engineer, Deployment - Palo Alto
Can you describe your experience with Python in backend development?

When answering this question, detail your specific projects showcasing your Python proficiency. Explain how you've used Python in deploying solutions, integrating APIs, or interacting with databases, and mention any frameworks or libraries that you've worked with that are relevant to the role at Mistral AI.

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How do you ensure the reliability of the applications you deploy?

Demonstrating your knowledge of best practices is key here. Discuss your approach to testing and monitoring deployments, including tools or strategies you’ve used to ensure software reliability, such as CI/CD practices, automated testing, and performance monitoring.

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What experience do you have with container orchestration tools like Docker and Kubernetes?

Talk about your hands-on experience with Docker for containerization and Kubernetes for orchestration. Provide examples of projects where you've utilized these tools for deploying applications, managing container lifecycles, and scaling services efficiently.

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Describe a time you faced a significant challenge in deployment. How did you handle it?

Use the STAR (Situation, Task, Action, Result) method to articulate your response. Tailor your answer to reflect a specific challenge related to AI deployment or resource optimization, emphasizing your problem-solving approach and the impact of your actions.

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How do you stay updated on the latest technologies and trends in AI and deployment?

Mention specific resources you follow, such as tech blogs, forums, or conferences related to AI and software deployment. Highlight your commitment to continuous learning and any communities or networks you engage with that focus on emerging technologies.

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Can you explain your understanding of cloud ecosystems and their relevance to deploying LLMs?

Reflect on your knowledge of different cloud services and platforms, such as AWS, Azure, or Google Cloud, and how these environments affect the deployment of large language models. Discuss the advantages and challenges of each and how that informs your deployment strategy.

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What strategies do you use for optimizing resource allocation during deployment?

Highlight your analytical approach to assessing resource usage and your experience with optimizing deployments, whether through load testing, scaling strategies, or using metrics to inform your decisions on resource allocation.

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How do you prioritize tasks when working on multiple deployment projects?

Discuss your time management and prioritization skills, perhaps mentioning techniques like Agile methodology or task management software you utilize. Provide examples of how you've successfully balanced priorities in a past role at Mistral AI.

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What role do collaboration and communication play in your work as a Software Engineer?

Emphasize the importance of cross-functional collaboration in your past experiences. Share how you communicate with stakeholders, participate in team meetings, and ensure that everyone's aligned on project goals, particularly when deploying complex AI systems.

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Why do you want to work at Mistral AI specifically as a Software Engineer?

Share your enthusiasm for Mistral AI’s mission and culture. Highlight how your values align with the company, and express your eagerness to contribute to innovative solutions that make AI accessible and impactful across various industries.

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DATE POSTED
March 6, 2025

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