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Applied AI Engineer, Use-case - Palo Alto

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.


About The Job


Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.


The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. 


In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.


What you will do


• You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. 

• You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. 

• You’ll individually help deploy into production use cases with a considerable business impact across various industries. 

• You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.

• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. 

• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback  


About you


• You are fluent in English

• You hold a PhD / master in AI / data science.

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products

• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases

• You have deep understanding of concepts and algorithms underlying machine learning and LLMs

• You're experienced with building and deploying LLMs or NLP applications

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python

• You have experience with deep learning with Pytorch

• You have experience with agents framework such as Langchain, vector DBs

• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences


Ideally you have:


• Contributed to open-source projects in particular in the space of LLMs

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager


Benefits


💰 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 The Team


At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open.


Our team values are reflected in our product values:


- Cool: We have a tongue-in-cheek way of looking at things, it’s hard to describe but you know it when you see it

- Precision: Our designs mirror the rigor and excellence that underpin our technology, reflecting our commitment to quality and reliability

- Human-Centric: We strive to make our technology open, approachable, and accessible

- Captivating: Our designs reflect the magic of our technology and our playful, exploratory approach to innovation

- Ambitious: We push the boundaries of what is possible, reflecting our bold vision for the future

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Average salary estimate

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$120000K
$150000K

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What You Should Know About Applied AI Engineer, Use-case - Palo Alto, Mistral AI

Join Mistral AI as an Applied AI Engineer in Palo Alto, where we are revolutionizing how AI can enhance lives and work. At Mistral, we believe that AI is not just technology but a tool that can simplify tasks and foster creativity, making it an essential part of everyday activities. As an Applied AI Engineer, you will play a crucial role in guiding our customers through each stage of using our advanced AI products. From the preliminary sales discussions to the nitty-gritty of post-implementation support, you'll be the bridge that connects our cutting-edge technologies with client needs. Your day-to-day tasks will involve collaborating closely with stakeholders, from CEOs to software engineers, and ensuring that they can seamlessly integrate our solutions into their operations. You’ll be diving into state-of-the-art Generative AI applications, tackling challenges across various industries and contributing to impactful projects. Your work will also involve technical direction on fine-tuning models and ensuring that our open-source contributions are robust and effective. With your PhD or master’s in AI or data science, along with strong programming skills in Python and experience with deep learning frameworks like Pytorch, you’ll thrive on our dynamic, collaborative team. Embrace the opportunity to shape the future of AI with Mistral AI—let’s create something extraordinary together!

Frequently Asked Questions (FAQs) for Applied AI Engineer, Use-case - Palo Alto Role at Mistral AI
What responsibilities does the Applied AI Engineer at Mistral AI have?

The Applied AI Engineer at Mistral AI plays a vital role in onboarding customers with our products and APIs, guiding them on prompts, evaluations, and fine-tuning. You’ll manage daily interactions with various stakeholders and work collaboratively on deploying complex AI solutions, ensuring successful integration into production environments.

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What qualifications are required for the Applied AI Engineer position at Mistral AI?

To qualify for the Applied AI Engineer position at Mistral AI, candidates should hold a PhD or master’s degree in AI or data science. Additionally, having 2+ years of experience in a technical role such as a data scientist or software engineer, proficiency in Python, and expertise in LLMs and machine learning concepts is essential.

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How does the Applied AI Engineer contribute to customer success at Mistral AI?

The Applied AI Engineer contributes to customer success by acting as a key resource throughout the customer journey, from pre-sales understanding of needs to post-implementation support. They ensure that Mistral AI products not only meet but exceed client expectations through strategic insights and effective training.

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What technologies does the Applied AI Engineer work with at Mistral AI?

At Mistral AI, the Applied AI Engineer works with a range of advanced technologies including fine-tuning LLMs, crafting Generative AI applications, and employing frameworks like Pytorch. There's also an emphasis on collaborating over open-source codebases to enhance our models' capabilities.

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What benefits does Mistral AI offer to its Applied AI Engineers?

Mistral AI provides a competitive salary, equity options, comprehensive healthcare coverage, a 401K retirement plan, generous paid time off, and additional perks like a meal stipend and gym reimbursements, creating a supportive environment for your professional journey.

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Common Interview Questions for Applied AI Engineer, Use-case - Palo Alto
Can you describe a challenging AI project you've worked on and how you approached it?

When answering this question, focus on a specific project that demonstrates your problem-solving skills. Describe the challenges you faced, the methodologies you employed, your role in the project, and the outcomes achieved, highlighting how it relates to Mistral AI's values.

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How do you ensure quality and precision in your AI implementations?

Discuss the importance of testing, validation, and iteration in your approach to AI implementations. Explain your process for ensuring that models perform reliably in production settings and how you gather feedback to improve them continuously, aligning with Mistral AI's commitment to excellence.

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What experience do you have with LLMs and their fine-tuning?

Share specific examples of projects where you successfully fine-tuned LLMs. Include challenges you encountered, techniques you used, and how your efforts led to improved performance, demonstrating your deep understanding of the technologies relevant to Mistral AI's offerings.

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How do you communicate complex technical concepts to non-technical audiences?

Highlight your ability to break down technical jargon into simple terms. Provide an example of how you've effectively communicated something complex in the past, which will showcase your strong communication skills vital for the Applied AI Engineer role at Mistral AI.

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Can you explain what Generative AI means and give an example of its application?

Describe Generative AI as a type of model that can produce new content based on training data. Provide a practical example, such as its use in creative industries or automated customer service scenarios, relating this back to how Mistral AI applies these concepts in their products.

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What coding languages and frameworks are you proficient in?

Be prepared to discuss your expertise in Python and any relevant frameworks like Pytorch. Mention specific projects where you utilized these skills effectively, relating it back to the tools that Mistral AI emphasizes in their engineering practices.

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Describe your experience working within collaborative teams.

Emphasize your ability to work as part of a team by sharing examples of how you've contributed to multi-disciplinary projects. Discuss your role in fostering communication and collaboration, which aligns with Mistral AI's team spirit and innovative culture.

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How do you stay current with advancements in AI technology?

Talk about the resources you utilize to keep up-to-date, such as academic journals, online courses, and industry conferences. This shows your proactive approach to learning and aligning with Mistral AI's mission of driving innovation in AI.

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What is your approach to handling client feedback?

Explain how you value client feedback as a critical component of the development process. Describe how you gather, analyze, and apply this feedback in your projects, highlighting your commitment to customer satisfaction at Mistral AI.

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What do you think sets Mistral AI apart from other AI companies?

Your answer should reflect both the company's culture and unique values, such as their focus on open-source technology and human-centric design. Display knowledge of Mistral AI's projects and vision, aligning them with your personal career aspirations.

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Full-time, on-site
DATE POSTED
March 21, 2025

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