Mistral AI
AI Frontier · Open-weight LLMs
- HQ
- Paris, FR
- Founded
- 2023
- Size
- 200+
- Website
- mistral.ai
- Blog
- mistral.ai
Products
Mistral AI currently has 76 active AI-related job listings. The majority of these roles are focused on agents, making up 34% of the openings, followed by application-focused roles at 32%. Engineering is the most frequently listed function. The company is actively hiring, with 42 new AI roles posted in the last 30 days, representing a 27% increase compared to the previous 30-day period.
Currently tracking 67 active AI roles, down 73% versus the prior 4 weeks. Primary focus: Agent · Engineering.
AI Frontier · Open-weight LLMs
Mistral AI currently has 83 active AI-related roles in our index. The most common open titles are: Research Engineer, Data Infrastructure (2), AI Deployment Strategist - Australia, AI Deployment Strategist - Luxembourg, AI Deployment Strategist - MENA, AI Deployment Strategist - Marseille. Most positions are in Engineering and Product.
Mistral AI's active AI hiring is concentrated in: agents (35%), application (29%), data (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Mistral AI is hiring AI talent in: France (52 roles), Singapore (7 roles), United States (6 roles), Germany (4 roles).
Job postings at Mistral AI most frequently reference: model serving, fine tuning, agent orchestration, rag, inference infra.
In the past 30 days, Mistral AI has posted 12 new AI-related roles. That is a -75% change versus the prior 30 days (48 → 12).
| Title | Stage | AI score |
|---|---|---|
| AI Scientist - Palo Alto Mistral AI is seeking an AI Scientist to research and develop novel methods for large language models, working across use cases and modalities. The role involves building tooling for training, evaluation, and analysis of AI models at scale, and collaborating to ship AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production deployment. | Pretrain | 10 |
| Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto Applied AI Engineer at Mistral AI focused on customer adoption of AI products and APIs. Responsibilities include onboarding, guidance on prompting, evaluation, fine-tuning, production integration, and deploying GenAI applications. Collaborates with researchers and engineers on complex customer projects, including fine-tuning and LLM applications. Involved in pre-sales to understand client needs and provide technical guidance. Contributes to open-source codebases for inference and fine-tuning. Works with state-of-the-art GenAI applications and deploys them into production with significant business impact. |
| AgentPost-train |
| 9 |
| Applied AI, Technical Lead - Forward Deployed AI Engineer Technical Lead, Applied AI role at Mistral AI focused on driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams, acting as a primary technical point of contact, and bridging the gap between AI research and real-world applications. Responsibilities include hands-on coding, leading technical teams, pre-sales technical discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires a PhD/Master's, 7-8+ years of AI/ML experience with 2+ years in a technical leadership role, and expertise in fine-tuning LLMs, RAG, and agentic systems. | AgentPost-train | 9 |
| Applied AI, Forward Deployed Machine Learning Engineer - NYC/Palo Alto Applied AI Engineer role at Mistral AI focused on customer adoption of AI products, including onboarding, guidance on prompting, evaluation, fine-tuning, and production integration. The role involves working on GenAI applications, deploying use cases with business impact, and collaborating with researchers and product engineers on complex customer projects. It also includes pre-sales activities and providing feedback to product and science teams. | AgentPost-train | 9 |
| Research Engineer, Machine Learning Research Engineer focused on building and optimizing large-scale learning systems for open-weight models, working with Research Scientists to enhance training frameworks, data pipelines, and cluster tooling, or to integrate cutting-edge research into production-grade components. The role involves conducting experiments on deep learning techniques, designing and implementing ML algorithms, and delivering prototypes for products like Le Chat and enterprise APIs. | PretrainServe | 9 |
| Site Reliability Engineer - NYC Site Reliability Engineer (SRE) to shape the reliability, scalability and performance of Mistral AI's platform and customer facing applications. This role involves designing, building, and maintaining scalable infrastructures for web services and ML workloads, ensuring high availability of platform, inference, and model training environments. The SRE will operate systems, troubleshoot production issues, implement monitoring and alerting, and manage CI/CD, containerization, and orchestration tools. They will also collaborate with AI/ML researchers on solutions for model-training experiments and contribute to cloud-agnostic platform development. | — | 5 |
| Research Engineer, Data Infrastructure This role focuses on building and operating the next generation of data infrastructure at Mistral AI, including massive compute fleets and storage systems for high performance and scalability. The role involves designing and scaling big data compute and storage platforms, ensuring secure and governed data access for MLOps and research, and taking full lifecycle ownership of pipelines and critical training jobs. | Data | 5 |
| Software Engineer, Backend (New-York) Backend Engineer at Mistral AI responsible for developing core systems powering AI products like AI Studio, Le Chat, and Mistral Code. The role involves building scalable, high-performance backend systems and APIs, designing system architectures, ensuring code quality, and collaborating with AI/ML teams to deliver model-as-a-service solutions. The position emphasizes tackling complex engineering challenges and integrating new technologies, including AI/LLM integration. | — | 5 |
| Software Engineer, Cloud Deployments Software Engineer, Cloud Deployments at Mistral AI, focusing on integrating Mistral's AI products (AI Studio, APIs, SDKs) into major cloud provider ecosystems (Azure, AWS, GCP). Responsibilities include building scalable deployment frameworks, collaborating with hyperscalers, enabling customer onboarding, and automating deployment workflows. | — | 5 |
| Product Manager, Cloud Partnerships Product Manager for Cloud Partnerships at Mistral AI, focusing on driving adoption of Mistral AI Studio through partner integrations and go-to-market strategies. This role involves defining product strategy, collaborating with engineering and GTM teams, and managing the end-to-end product lifecycle for partnerships. | — | 5 |
| Legal Tech & Ops Associate (IP & Licensing Business) This role focuses on managing IP and licensing operations, including tracking opportunities, analyzing data, and optimizing patent processes. It involves using AI tools to enhance operational efficiency and data accuracy within the legal and IP domains. | — | 5 |
| Account Executive, Enterprise - SF Bay Area Enterprise Account Executive responsible for driving adoption of Mistral AI's models and platform among large enterprise customers. This role involves managing the full sales cycle, from lead development to closing deals, and collaborating with technical, legal, and implementation teams. The AE needs to understand the technical intricacies of the products and articulate their value proposition to C-level executives and key decision-makers. | — | 5 |
| Account Executive, Enterprise - New York Enterprise Account Executive responsible for driving adoption of Mistral AI's platform and models among large enterprise customers in the US market. This role involves managing the full sales cycle, from lead development and value proposition validation through POCs to deal closing and executive engagement. The AE will need a strong technical understanding of AI products to articulate value and collaborate with technical and implementation teams. | — | 5 |
| Account Executive, Digital Native US Mistral AI is seeking a Digital Native Account Executive to drive revenue growth with startups, scale-ups, and Mid Market accounts in North America. The role involves managing the full sales cycle, from pipeline generation to closing deals and expanding customer accounts. The Account Executive will collaborate with Solutions, Product, Finance, Legal, and Marketing teams, acting as a key contributor to Mistral's North American expansion. | — | 5 |
| Technical Support Expert This role is for a Technical Support Expert at Mistral AI, focusing on handling complex customer issues, escalating technical problems, managing knowledge bases, and optimizing support processes. It requires experience in technical customer support, cross-functional collaboration, and proficiency with support platforms. | — | 0 |
| HR People Ops North America HR People Ops North America role at Mistral AI, focusing on daily HR operations, employee inquiries, benefits administration, visa coordination, HR projects with external vendors, legal compliance, and maintaining employee handbooks. The role also involves onboarding new joiners, managing contractual elements, updating HR information, processing payroll for the North America region, and optimizing HR processes. The ideal candidate has 8-15 years of HR experience, strong knowledge of US employment law, experience managing the employee lifecycle, and understanding of payroll regulations. Proficiency in HR technology solutions and a hands-on, builder mindset are required. | — | 0 |
| Talent Acquisition, USA Talent Acquisition role at an AI company, focusing on building and scaling the US recruiting team. Responsibilities include partnering with hiring managers, finding unique candidates, guiding them through the hiring process, and shaping the recruitment process and TA machinery. Requires 6+ years of recruiting experience, with at least 2 years in a startup or growth stage company, and expertise in recruiting for Enterprise GTM, Corporate functions, or Product Engineering/Infrastructure or Science/Research Engineers. | — | 0 |
| Talent Acquisition - US (Contractor) This role is for a Talent Acquisition specialist to manage full-cycle recruiting for a fast-growing AI company, focusing on GTM, corporate, and potentially engineering functions. The ideal candidate will have experience in competitive talent markets and a strong understanding of the full recruiting process. | — | 0 |
| Enterprise Sales Leader Mistral AI is seeking an Enterprise Sales Leader to lead and grow a US Enterprise Sales Team, focusing on acquiring and expanding high-value new logos and customers. The role involves recruiting, coaching, and managing a team of Enterprise Account Executives, driving execution against the North America business strategy, and managing regional business with operational excellence. The ideal candidate will have 10+ years of experience in B2B technology sales, with 4+ years in sales management, a track record of exceeding revenue targets, and a strong understanding of the US AI market. | — | 0 |