<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>4abec3ad-b43</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer - EMEA</Title>
      <Description><![CDATA[<p>About the Job
We&#39;re seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges.
The Applied AI team is our customer-facing technical organization, working directly with enterprise clients from pre-sales through implementation to deploy AI solutions that deliver measurable business impact.
Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution.
By joining the team, you&#39;ll bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and our technological vision.</p>
<p>Responsibilities</p>
<ul>
<li>You&#39;ll individually help deploy into production use cases with a considerable business impact across various industries.</li>
<li>You&#39;ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving technological transformation with our customers.</li>
<li>You&#39;ll work in collaboration with our researchers, other AI engineers, product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.</li>
<li>You&#39;ll холод involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations.</li>
<li>You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.</li>
<li>Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers&#39; feedback</li>
</ul>
<p>How We Work in Applied AI</p>
<ul>
<li>We care about people and outputs.</li>
<li>What matters is what you ship, not the time you spend on it.</li>
<li>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to.</li>
<li>The best idea wins, whether it comes from a principal engineer or someone in their first week.</li>
<li>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</li>
<li>We say what we mean. Feedback is direct, timely, and given because we care.</li>
<li>No politics. Low ego, high standards.</li>
<li>We embrace an unstructured environment and find joy in it.</li>
</ul>
<p>About You</p>
<ul>
<li>You are fluent in English.</li>
<li>You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</li>
<li>You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</li>
<li>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</li>
<li>You have deep understanding of concepts and algorithms underlying machine learning and LLMs.</li>
<li>You have strong technical coding skills in Python.</li>
<li>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.</li>
</ul>
<p>Ideally You Have:</p>
<ul>
<li>Contributed to open-source projects in particular in the space of LLMs.</li>
<li>Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.</li>
<li>You have experience with deep learning with PyTorch</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Machine Learning, Fine Tuning LLMs, Deep Learning, PyTorch</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral AI develops and deploys cutting-edge AI solutions for enterprise clients.</Employerdescription>
      <Employerwebsite>https://www.mistral.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/77f6fd1b-65cf-45d8-9b68-594c62732f62</Applyto>
      <Location>Paris</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>2e9a6822-21b</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer</Title>
      <Description><![CDATA[<p>About Mistral AI</p>
<p>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.</p>
<p>We are seeking a Applied AI Engineer to facilitate the adoption of our 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.</p>
<p>Responsibilities</p>
<p>• Onboard 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.</p>
<p>• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</p>
<p>• Individually help deploy into production use cases with a considerable business impact across various industries.</p>
<p>• Collaborate 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 for tasks such as inference and fine-tuning.</p>
<p>• Be involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.</p>
<p>About You</p>
<p>• You are fluent in English.</p>
<p>• You hold a PhD / master in AI / data science.</p>
<p>• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</p>
<p>• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</p>
<p>• You have a deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>
<p>• You&#39;re experienced with building and deploying LLMs or NLP applications.</p>
<p>• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</p>
<p>• You have strong technical coding skills in Python.</p>
<p>• You have experience with deep learning with Pytorch.</p>
<p>• You have experience with agents framework such as Langchain, vector DBs.</p>
<p>Ideally You Have:</p>
<p>• Contributed to open-source projects in particular in the space of LLMs.</p>
<p>• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.</p>
<p>Benefits</p>
<p>• Competitive salary.</p>
<p>• Generous Equity.</p>
<p>• Health: Sun Life.</p>
<p>• Pension: Match up to 6% of your contributions.</p>
<p>• PTO: 25 days.</p>
<p>• Transportation: Allowance public transportation or Parking charges reimbursed.</p>
<p>• Coaching: we offer Betterup coaching on a voluntary basis.</p>
<p>• Sport: 145 CAD/month reimbursement for gym membership.</p>
<p>• Meal stipend: 480 CAD monthly allowance for meals (solution might evolve as we grow bigger).</p>
<p>By applying, you agree to our Applicant Privacy Policy.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Pytorch, Langchain, vector DBs, Fine Tuning LLMs, RAG or agentic use cases, machine learning, 8400, NLP applications, APIs, back-end and front-end interfaces</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral AI is a company that provides AI technology to simplify tasks, save time, and enhance learning and creativity. It has a diverse workforce and teams are distributed between France, USA, UK, Germany, and Singapore.</Employerdescription>
      <Employerwebsite>https://mistral.ai/careers</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/a73cb128-b07e-437c-b82d-57b06661c52b</Applyto>
      <Location>Montreal</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>70515166-4b8</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer</Title>
      <Description><![CDATA[<p>About the Job</p>
<p>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.</p>
<p>Responsibilities</p>
<p>• Onboard 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.</p>
<p>• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</p>
<p>• Individually help deploy into production use cases with a considerable business impact across various industries.</p>
<p>• Collaborate 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 for tasks such as inference and fine-tuning.</p>
<p>• Involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.</p>
<p>• Collaboration with our product and science team to improve continuously our product and model capabilities based on customers&#39; feedback</p>
<p>About You</p>
<p>• You are fluent in English.</p>
<p>• You hold a PhD / master in AI / data science.</p>
<p>• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</p>
<p>• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</p>
<p>• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>
<p>• You&#39;re experienced with building and deploying LLMs or NLP applications.</p>
<p>• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</p>
<p>• You have strong technical coding skills in Python.</p>
<p>• You have experience with deep learning with Pytorch.</p>
<p>• You have experience with agents framework such as Langchain, vector DBs.</p>
<p>Benefits</p>
<p>• Competitive salary and bonus structure.</p>
<p>• Generous Equity.</p>
<p>• Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents).</p>
<p>• Pension: 401K (6% matching).</p>
<p>• PTO: 18 days.</p>
<p>• Transportation: Reimburse office parking charges, or $120/month for public transport.</p>
<p>• Coaching: we offer Betterup coaching on a voluntary basis.</p>
<p>• Sport: $120/month reimbursement for gym membership.</p>
<p>• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger).</p>
<p>• Visa sponsorship</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Pytorch, Deep learning, LLMs, NLP applications, APIs, Back-end and front-end interfaces, Fine Tuning LLMs, Advanced RAG or agentic use cases, Concepts and algorithms underlying machine learning and LLMs</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral AI is a company that develops and provides AI solutions, including an AI assistant for life and work. It has a diverse workforce and operates globally.</Employerdescription>
      <Employerwebsite>https://mistral.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/0b476d3a-5f0c-4dda-9a5e-bd5ed8515328</Applyto>
      <Location>Palo Alto</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>c397cd8b-7d3</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer</Title>
      <Description><![CDATA[<p>About The Job</p>
<p>We&#39;re seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges.</p>
<p>The Applied AI team is Mistral&#39;s customer-facing technical organisation. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.</p>
<p>Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution.</p>
<p>By joining the team, you&#39;ll bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral&#39;s technological vision.</p>
<p>Responsibilities</p>
<ul>
<li>You&#39;ll individually help deploy into production use cases with a considerable business impact across various industries.</li>
<li>You&#39;ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</li>
<li>You&#39;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 for tasks such as inference and fine-tuning.</li>
<li>You&#39;ll be involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.</li>
<li>Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers&#39; feedback</li>
</ul>
<p>How We Work in Applied AI</p>
<ul>
<li>We care about people and outputs.</li>
<li>What matters is what you ship, not the time you spend on it.</li>
<li>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</li>
<li>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</li>
<li>We say what we mean. Feedback is direct, timely, and given because we care.</li>
<li>No politics. Low ego, high standards.</li>
<li>We embrace an unstructured environment and find joy in it.</li>
</ul>
<p>About You</p>
<ul>
<li>You are fluent in English.</li>
<li>You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</li>
<li>You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</li>
<li>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</li>
<li>You have deep understanding of concepts and algorithms underlying machine learning and LLMs.</li>
<li>You have strong technical coding skills in Python.</li>
<li>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.</li>
</ul>
<p>Ideally you have:</p>
<ul>
<li>Contributed to open-source projects in particular in the space of LLMs.</li>
<li>Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.</li>
<li>You have experience with deep learning with Pytorch</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Machine Learning, Deep Learning, PyTorch, Fine Tuning LLMs, APIs, Back-end and Front-end Interfaces</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral AI is a customer-facing technical organisation that deploys cutting-edge AI solutions to enterprise clients.</Employerdescription>
      <Employerwebsite>https://www.mistral.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/cb2137e6-d6b1-47d7-8450-6370a61f2b79</Applyto>
      <Location>Casablanca</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>7f8122a8-6d7</externalid>
      <Title>Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer</Title>
      <Description><![CDATA[<p>About Mistral AI</p>
<p>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.</p>
<p>We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases.</p>
<p>Responsibilities</p>
<ul>
<li>You&#39;ll individually help deploy into production use cases with a considerable business impact across various industries.</li>
<li>You&#39;ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</li>
<li>You&#39;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.</li>
<li>You&#39;ll be involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.</li>
<li>Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback</li>
</ul>
<p>About you</p>
<ul>
<li>You are fluent in English</li>
<li>You hold a PhD / master in AI / data science or you’re self-made</li>
<li>You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li>
<li>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases</li>
<li>You have deep understanding of concepts and algorithms underlying machine learning and LLMs</li>
<li>You have a deep understanding of Cloud Infrastructure and how to deploy AI based products</li>
<li>You have deployed or built products with large scale user based</li>
<li>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences</li>
</ul>
<p>Benefits</p>
<ul>
<li>Competitive cash salary and equity</li>
<li>Health Insurance</li>
<li>Sport: $90 for gym membership allowance</li>
<li>Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)</li>
<li>Transportation: $120/month for public transport or Parking charges reimbursed</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Fine Tuning LLMs, GenAI applications, Cloud Infrastructure, Llm applications, Open-source codebases</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral AI is a company that develops and provides AI technology to simplify tasks, save time, and enhance learning and creativity. It has a workforce distributed across several countries.</Employerdescription>
      <Employerwebsite>https://mistral.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/5993e633-2c23-4054-801e-1da4c2adadc5</Applyto>
      <Location>Singapore</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>3c841ef9-762</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer - EMEA</Title>
      <Description><![CDATA[<p>About the Job</p>
<p>We are seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution.</p>
<p>What you will do</p>
<ul>
<li>You&#39;ll individually help deploy into production use cases with a considerable business impact across various industries.</li>
<li>You&#39;ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</li>
<li>You&#39;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 for tasks such as inference and fine-tuning.</li>
<li>You&#39;ll be involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.</li>
<li>Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback</li>
</ul>
<p>How We Work in Applied AI</p>
<ul>
<li>We care about people and outputs.</li>
<li>What matters is what you ship, not the time you spend on it</li>
<li>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</li>
<li>Always ask why. The best solutions come from deep understanding, not from copying what worked before</li>
<li>We say what we mean. Feedback is direct, timely, and given because we care.</li>
<li>No politics. Low ego, high standards.</li>
<li>We embrace an unstructured environment and find joy in it.</li>
</ul>
<p>About you</p>
<ul>
<li>You are fluent in English</li>
<li>You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li>
<li>You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</li>
<li>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases</li>
<li>You have deep understanding of concepts and algorithms underlying machine learning and LLMs</li>
<li>You have strong technical coding skills in Python</li>
<li>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences</li>
</ul>
<p>Ideally you have:</p>
<ul>
<li>Contributed to open-source projects in particular in the space of LLMs</li>
<li>Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager</li>
<li>You have experience with deep learning with Pytorch</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Machine Learning, Deep Learning, PyTorch, Fine Tuning LLMs, APIs, Back-end and Front-end Interfaces</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo></Employerlogo>
      <Employerdescription>Mistral AI is a company that develops and deploys cutting-edge AI solutions for enterprise clients.</Employerdescription>
      <Employerwebsite>https://www.mistral.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/77f6fd1b-65cf-45d8-9b68-594c62732f62</Applyto>
      <Location>Paris</Location>
      <Country></Country>
      <Postedate>2026-03-10</Postedate>
    </job>
    <job>
      <externalid>bf520805-872</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer</Title>
      <Description><![CDATA[<p>About Mistral AI</p>
<p>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.</p>
<p>We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.</p>
<p>About The Job</p>
<p>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.</p>
<p>Responsibilities</p>
<ul>
<li><p>Onboard 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.</p>
</li>
<li><p>Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</p>
</li>
<li><p>Individually help deploy into production use cases with a considerable business impact across various industries.</p>
</li>
<li><p>Collaborate 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.</p>
</li>
<li><p>Involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.</p>
</li>
</ul>
<p>About You</p>
<ul>
<li><p>You are fluent in English.</p>
</li>
<li><p>You hold a PhD / master in AI / data science.</p>
</li>
<li><p>You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</p>
</li>
<li><p>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</p>
</li>
<li><p>You have deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>
</li>
<li><p>You&#39;re experienced with building and deploying LLMs or NLP applications.</p>
</li>
<li><p>You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</p>
</li>
<li><p>You have strong technical coding skills in Python.</p>
</li>
<li><p>You have experience with deep learning with Pytorch.</p>
</li>
<li><p>You have experience with agents framework such as Langchain, vector DBs.</p>
</li>
</ul>
<p>Benefits</p>
<ul>
<li><p>Competitive cash salary and equity</p>
</li>
<li><p>Health Insurance</p>
</li>
<li><p>Sport: $90 for gym membership allowance</p>
</li>
<li><p>Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)</p>
</li>
<li><p>Transportation: $120/month for public transport or Parking charges reimbursed</p>
</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Fine Tuning LLMs, Advanced RAG or agentic use cases, Deep understanding of concepts and algorithms underlying machine learning and LLMs, Building and deploying LLMs or NLP applications, AI or machine learning product implementation with APIs, back-end and front-end interfaces, Python, Deep learning with Pytorch, Agents framework such as Langchain, vector DBs</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo></Employerlogo>
      <Employerdescription>Mistral AI is a technology company that develops high-performance, optimized, open-source, and cutting-edge AI models, products, and solutions.</Employerdescription>
      <Employerwebsite>https://mistral.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/6fc7ccb5-47bb-4eab-aea0-55929403315d</Applyto>
      <Location>Singapore</Location>
      <Country></Country>
      <Postedate>2026-03-10</Postedate>
    </job>
    <job>
      <externalid>4ad9e669-7f7</externalid>
      <Title>Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer</Title>
      <Description><![CDATA[<p>About the Job</p>
<p>Mistral AI is seeking a senior/staff forward-deployed machine learning engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.</p>
<p>The applied AI engineer is an integral part of our applied AI engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprise use-cases.</p>
<p>Responsibilities</p>
<ul>
<li><p>Deploy into production use cases with a considerable business impact across various industries.</p>
</li>
<li><p>Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</p>
</li>
<li><p>Collaborate 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.</p>
</li>
<li><p>Involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations.</p>
</li>
<li><p>Provide technical guidance on our products and explain Mistral technologies to various stakeholders.</p>
</li>
<li><p>Collaboration with our product and science team to improve continuously our product and model capabilities based on customers&#39; feedback.</p>
</li>
</ul>
<p>About You</p>
<ul>
<li><p>Fluency in English.</p>
</li>
<li><p>Hold a PhD/master in AI/data science or self-made.</p>
</li>
<li><p>7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</p>
</li>
<li><p>Experience in fine-tuning LLMs, tackling advanced RAG or agentic use cases.</p>
</li>
<li><p>Deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>
</li>
<li><p>Deep understanding of cloud infrastructure and how to deploy AI-based products.</p>
</li>
<li><p>Deployed or built products with large-scale user bases.</p>
</li>
<li><p>Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.</p>
</li>
</ul>
<p>Benefits</p>
<ul>
<li><p>Competitive cash salary and equity.</p>
</li>
<li><p>Health insurance.</p>
</li>
<li><p>Sport: $90 for gym membership allowance.</p>
</li>
<li><p>Food: $200 monthly allowance for meals (solution might evolve as we grow bigger).</p>
</li>
<li><p>Transportation: $120/month for public transport or parking charges reimbursed.</p>
</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior/staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Fine Tuning LLMs, Tackling advanced RAG or agentic use cases, Cloud Infrastructure, Deploying AI-based products, Large-scale user bases, Contributing to open-source projects, Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo></Employerlogo>
      <Employerdescription>Mistral AI is a company that develops and provides artificial intelligence (AI) solutions for various industries. It has a global presence with teams distributed across France, USA, UK, Germany, and Singapore.</Employerdescription>
      <Employerwebsite>https://mistral.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/5993e633-2c23-4054-801e-1da4c2adadc5</Applyto>
      <Location>Singapore</Location>
      <Country></Country>
      <Postedate>2026-03-10</Postedate>
    </job>
  </jobs>
</source>