Full-Time

Applied AI Engineer

Use-case

Confirmed live in the last 24 hours

Mistral AI

Mistral AI

201-500 employees

Develops and deploys large language models

No salary listed

Junior, Mid

H1B Sponsorship Available

Palo Alto, CA, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Python
Data Science
Pytorch
Machine Learning
Natural Language Processing (NLP)
LangChain
Requirements
  • Fluent in English
  • PhD / master in AI / data science
  • 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
  • Experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
  • Deep understanding of concepts and algorithms underlying machine learning and LLMs
  • Experienced with building and deploying LLMs or NLP applications
  • Proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces
  • Strong technical coding skills in Python
  • Experience with deep learning with Pytorch
  • Experience with agents framework such as Langchain, vector DBs
  • Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Responsibilities
  • 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
  • Working on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with customers a crucial technological transformation
  • Individually helping deploy into production use cases with a considerable business impact across various industries
  • Collaborating with researchers, other AI engineers, and product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to open source codebases for tasks such as inference and fine-tuning
  • Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on products and explaining Mistral technologies to various stakeholders
  • Collaborating with product and science teams to continuously improve product and model capabilities based on customers’ feedback
Desired Qualifications
  • 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

Mistral AI develops and deploys Large Language Models (LLMs) that can understand and generate human-like text. Their main products include an API that allows clients to access these models on a pay-as-you-go basis, making it easy for businesses of all sizes to integrate advanced AI capabilities without large upfront costs. Additionally, Mistral AI offers open-source models that can be accessed through platforms like Hugging Face, encouraging community involvement and continuous improvement of the models. Unlike many competitors, Mistral AI combines a flexible API with open-source offerings, allowing for both commercial use and community contributions. The company's goal is to provide scalable and cost-effective AI solutions while fostering innovation through community engagement.

Company Size

201-500

Company Stage

Series B

Total Funding

$1.2B

Headquarters

Paris, France

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Open-source approach fosters community engagement, leading to rapid model improvements.
  • Magistral's multilingual reasoning captures a unique market segment not fully addressed by competitors.
  • On-premise deployment of Mistral Code offers a competitive edge in data privacy and compliance.

What critics are saying

  • Magistral model faces competition from established reasoning models by OpenAI and DeepSeek.
  • Safety ranking by Microsoft could impact adoption if Mistral models don't meet standards.
  • Apple's research questions AI reasoning effectiveness, potentially undermining Mistral's model value.

What makes Mistral AI unique

  • Mistral AI offers both API access and open-source models under Apache 2.0 License.
  • Their Magistral model can reason in multiple languages, unlike many competitors.
  • Mistral Code provides on-premise deployment, enhancing data privacy and security for enterprises.

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Benefits

Health Insurance

Company Equity

Parental Leave

401(k) Retirement Plan

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

33%
PYMNTS
Jun 11th, 2025
Nvidia Ceo Rebuts Anthropic Ceo’S Dire Prediction Of Ai Taking Jobs

Dario Amodei reportedly made the comment last month, adding that he expects it to happen within one to five years. He also believes that it would raise the unemployment rate to 10% to 20%. The unemployment rate for May was 4.2%, according to the Bureau of Labor Statistics. During a private briefing with journalists and analysts at the VivaTech 2025 conference in Paris, a relaxed and candid Huang said it didn’t make sense to him that Amodei believes AI will take all these jobs and also imply that Anthropic should be the only one to develop AI. Also, Huang pointed out why it is illogical for Amodei to say AI can be dangerous

VentureBeat
Jun 10th, 2025
Mistral’S First Reasoning Model, Magistral, Launches With Large And Small Apache 2.0 Version

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more. European AI powerhouse Mistral today launched Magistral, a new family of large language models (LLMs) that marks the first from the company to enter the increasingly competitive space of “reasoning,” or models that take time to reflect on their thinking to catch errors and solve more complex tasks than basic text-based LLMs. The announcement features a strategic dual release: a powerful, proprietary Magistral Medium for enterprise clients, and, notably, a 24-billion parameter open-source version, Magistral Small.The latter release appears calculated to reinforce the company’s commitment to its foundational roots, following a period where it faced criticism for leaning into more closed, proprietary models such as its Medium 3 for enterprises, launched back in May 2025.A return to open source rootsIn a move that will undoubtedly be celebrated by developers and the wider AI community, Mistral is releasing Magistral Small under the permissive open source Apache 2.0 license.This is a crucial detail. Unlike more restrictive licenses, Apache 2.0 allows anyone to freely use, modify, and distribute the model’s source code, even for commercial purposes. This empowers startups and established companies alike to build and deploy their own applications on top of Mistral’s latest reasoning architecture without licensing fees or fear of vendor lock-in.This open approach is particularly significant given the context

Tech Startups
Jun 10th, 2025
French Ai Startup Mistral To Launch Ai Reasoning Model That Thinks In Multiple Languages

French AI startup Mistral on Tuesday announced it’s launching its first reasoning model to compete take rivals like OpenAI and China’s DeepSeek.Unlike the other reasoning models, Mistral’s new model will bring something fresh to the table that its competitors don’t have: the ability to think through problems in multiple languages.“We’re announcing in a couple of hours our new reasoning model, which is very much competitive with all the others and has the specificity of being able to reason in multiple languages,” CEO Arthur Mensch told CNBC in an interview during a fireside chat at London Tech Week.Mistral is launching its First Reasoning Model to Challenge OpenAI and DeepSeekThe launch puts Mistral head-to-head with some serious competition. OpenAI’s o1 model has been available to ChatGPT users since late last year, while DeepSeek’s R1 represents China’s entry into the reasoning model space. But Mistral thinks it has found a gap in the market.Reasoning models work differently from regular AI chatbots. Instead of just spitting out answers, they work through complex problems step by step, showing their logical thought process. Think of it like watching someone solve a math problem by writing out each step rather than just giving you the final answer.However, Apple’s latest research paper suggests that AI reasoning capabilities may not live up to the hype. The company’s researchers published a paper called “The Illusion of Thinking” that’s shaking up assumptions about these models

PYMNTS
Jun 8th, 2025
Microsoft Plans To Rank Ai Models By Safety

This effort is part of the tech giant’s effort to foster trust among its cloud customers as it sells them AI products from companies like OpenAI and xAI, the Financial Times (FT) reported Sunday (June 8). Sarah Bird, Microsoft’s head of Responsible AI, told the FT the company would soon add a “safety” category to its “model leaderboard,” a feature it created recently for developers to rank iterations from providers including China’s DeepSeek and France’s Mistral. The leaderboard, which is accessible to clients using the Azure Foundry developer platform, is expected to influence which AI models and applications are purchased via Microsoft

VentureBeat
Jun 4th, 2025
Mistral Ai’S New Coding Assistant Takes Direct Aim At Github Copilot

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Mistral AI unveiled a comprehensive enterprise coding assistant Wednesday, marking the French artificial intelligence company’s most aggressive push yet into the corporate software development market dominated by Microsoft’s GitHub Copilot and other Silicon Valley rivals.The new product, called Mistral Code, bundles the company’s latest AI models with integrated development environment plugins and on-premise deployment options specifically designed for large enterprises with strict security requirements. The launch directly challenges existing coding assistants by offering what the company says is unprecedented customization and data sovereignty.“Our most significant features are that we propose more customization and to serve our models on premise,” said Baptiste Rozière, a research scientist at Mistral AI and former Meta researcher who helped develop the original Llama language model, in an exclusive interview with VentureBeat. “For customization, we can specialize our models for the customer’s codebase, which can make a huge difference in practice to get the right completions for workflows that are specific to the customer.”The enterprise focus reflects Mistral’s broader strategy to differentiate itself from OpenAI and other American competitors by emphasizing data privacy and European regulatory compliance. Unlike typical software-as-a-service coding tools, Mistral Code allows companies to deploy the entire AI stack within their own infrastructure, ensuring that proprietary code never leaves corporate servers.“With on-prem, we can serve the model on the customer’s hardware,” Rozière explained