Mistral AI

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 discussions, designing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation.

Mistral AI is seeking an Applied AI Engineer to join their customer-facing technical organization. The role involves deploying AI solutions for enterprise clients, working on GenAI applications, fine-tuning LLMs, and collaborating with research and product teams. Responsibilities include pre-sales technical guidance, understanding client needs, and contributing to open-source codebases.

Mistral AI is looking for an Applied AI Engineer to help customers adopt their AI products, address complex technical challenges, and build enterprise use cases. The role involves working with customers from pre-sale to post-implementation, managing customer relations, and externalizing research into production. Responsibilities include deploying production use cases, working on GenAI applications, collaborating with researchers and engineers on customer projects (fine-tuning, LLM applications, open-source contributions), participating in pre-sales calls, and providing feedback to product and science teams.

Applied AI Engineer role focused on building and delivering full-stack AI solutions for enterprise customers within short timelines (4-8 weeks). The role involves customer engagement, technical leadership, end-to-end system ownership, and contributing to product innovation by testing new capabilities and translating real-world usage into product direction. Requires strong software engineering fundamentals, experience with LLMs, RAG, and agentic systems, and a builder mindset.

Applied AI Engineer for critical and sovereign institutions, focusing on deploying and developing GenAI applications, fine-tuning LLMs, and contributing to open-source codebases. Requires strong software engineering skills and experience with advanced RAG and agentic systems.

Machine Learning Engineer focused on open-sourcing state-of-the-art models and maintaining Mistral's public libraries, including tooling and services for both internal research and external open-source contributions. The role involves implementing and optimizing libraries for performance and accuracy, ensuring production readiness, and collaborating with the open-source community.

This role focuses on designing and implementing evaluation systems and infrastructure for LLMs, specifically for enterprise clients. The goal is to measure model performance across customer-specific use cases, moving beyond general benchmarks to domain-specific, risk-aware evaluations. The role involves building scalable pipelines, developing new methodologies, and tailoring evaluations to customer needs, bridging research, engineering, and customer-facing teams.

Research Engineer focused on deploying and optimizing AI models for real-world robotics, including mobile manipulation and training data pipelines. Requires strong software engineering skills for production systems and experience with robotic hardware and ML/CV applications.

This is a graduate program role focused on Applied AI & Engineering at Mistral AI. The role involves working on state-of-the-art GenAI applications, collaborating with research and engineering teams to develop and deploy AI models, including fine-tuning, RAG, and Agentic workflows. The program offers rotations, mentorship, and aims to build expertise in applied AI and foundational models, with a focus on shipping impactful AI projects.

Mistral AI is seeking a GPU Programming Expert to optimize the serving and training of large language models at high speed. This role involves writing low-level CUDA kernels and distributed systems code to maximize GPU utilization, rethinking model architectures for efficient inference, and integrating this low-level code into an MLOps framework. The ideal candidate has deep expertise in GPU programming, distributed computing, and a strong understanding of generative AI, with interest in fine-tuning and model applications.

Fullstack Software Engineer role focused on deploying Mistral AI products for customers in critical, sovereign, and highly regulated environments. This involves designing, building, and deploying full-stack AI applications, integrating models, and working directly with clients to ensure solutions meet high standards of security, reliability, and compliance.

Research Software Engineer focused on designing and hardening the codebase, tools, and distributed services for training and shipping frontier-scale models. The role involves building and maintaining shared dev-tools, evaluation & data pipelines, training frameworks, cluster tooling, and CI/CD, with a focus on robust internal tooling and exposing clean APIs for research-to-product integration.

Applied Scientist/Research Engineer at Mistral AI focused on building and deploying AI Physics Models for industrial customers, integrating LLMs with engineering simulation workflows. The role involves curating datasets, training and evaluating models, and delivering production-grade AI solutions.

Applied AI Engineering Intern role focused on deploying GenAI applications for customers, collaborating with researchers and engineers, and improving product capabilities based on customer feedback. Requires Python, ML algorithms, NLP, and basic MLOps understanding.

Mistral AI is seeking a Research Engineer for their Data Infrastructure team to architect and scale massive distributed compute and storage systems for frontier model training and fine-tuning. The role involves building the backbone of their AI ecosystem, managing multi-cluster orchestration, designing future-proof storage solutions, and ensuring operational excellence for large-scale data platforms.

Applied AI Engineer role focused on customer adoption and integration of Mistral AI's models into client products. Involves full-stack development, use case development, and collaboration with research and product teams.

Technical Program Manager to build and drive the execution engine of Mistral AI's science organization. This role involves designing and operationalizing systems, workflows, and processes to translate research goals into measurable, coordinated execution, ensuring projects move from idea to impact with clarity and discipline. The role sits at the intersection of program management, technical operations, and research, partnering with scientists and engineers to bring structure and visibility to complex initiatives, streamline delivery, and manage GPU allocation.

Engineering Manager to lead product engineering teams, focusing on building scalable systems, bridging product and technology, and ensuring high-quality delivery of AI platform and products. The role requires hands-on technical leadership and people management.

Security Researcher focused on safeguarding agentic AI systems, cloud infrastructure, and foundational models by identifying and mitigating risks through offensive security techniques, red/purple teaming, and penetration testing. The role involves building offensive tooling and contributing to Mistral AI's security strategy.

Software Engineer focused on deploying and integrating AI products (models, APIs) across various infrastructure configurations, including cloud and on-premises. Responsibilities include ensuring fast and reliable product launches, building and extending deployment infrastructure, addressing AI safety on third-party platforms, and enhancing observability and monitoring for high availability and performance.

Mistral AI is seeking a Data Quality Specialist to join their Human Data Annotation team. This hybrid role involves reviewing and auditing code annotations against rubrics to ensure data quality for AI model training and evaluation, and also building, maintaining, and troubleshooting internal tooling for annotators. The role requires strong analytical skills, attention to detail, proficiency in programming languages, and experience with code agents and developer environments.

This role focuses on driving the adoption and deployment of Mistral's AI solutions within the cybersecurity domain, working with customers from strategic vision to production implementation. The strategist will design AI roadmaps, collaborate with the Applied AI team on solution delivery, and ensure seamless transitions from presales to postsales, directly contributing to customer success.

Associate AI Deployment Strategist role at Mistral AI, focusing on supporting customer adoption and deployment of AI solutions. This early-career role involves assisting in AI roadmap design, solution integration, and ensuring customer success by bridging strategic vision with practical implementation. The role requires collaboration with internal teams and customers, prototyping, and executing pilot projects.

Mistral AI is seeking a Senior/Staff Applied AI Engineer focused on DevOps to help customers adopt and integrate their AI products. This role involves end-to-end project ownership, from understanding customer challenges to deploying and scaling AI solutions, including working with the low-level GPU stack and infrastructure. The engineer will collaborate with researchers and other engineers, contribute to open-source codebases for inference and fine-tuning, and participate in pre-sales calls.

Mistral AI is seeking experienced Site Reliability Engineers (SREs) to ensure the reliability, scalability, and performance of their platform and customer-facing applications. The role involves balancing daily operations with long-term infrastructure improvements, collaborating with software engineers and AI/ML researchers, and automating deployment and orchestration. Key responsibilities include designing and maintaining scalable infrastructures for web services and ML workloads, ensuring high availability of platform and training environments, implementing monitoring and alerting systems, and developing workflows for CI/CD, containerization, and orchestration.

Software Engineer to design, build, and lead core systems for enterprise agents, focusing on integrations, connectors, and dashboards to streamline internal workflows and enable self-service tooling. This role involves technical leadership, stakeholder management, and shipping end-to-end web applications.

This role focuses on creating and auditing human data annotations to ensure the quality and efficiency of data used for training and evaluating AI models. It involves collaborating with technical teams to refine annotation processes and guidelines.

Systems Engineer/Administrator role focused on designing, operating, and scaling the HPC infrastructure for AI model training and research. Responsibilities include Linux systems administration, automation, performance tuning, and supporting production/research workloads.

Seeking early-career software engineers to join Mistral AI's software engineering teams. This role will focus on building and improving core systems for products like AI Studio and Applications, as well as supporting operations and user/developer interaction with the AI platform. Responsibilities include backend and frontend development, system architecture, infrastructure, code quality, and cross-functional collaboration. The role involves tackling real-world engineering problems and integrating new AI capabilities.

Mistral AI is seeking a Research Platform Engineer to build and optimize a cloud-agnostic platform for their research department. This role focuses on improving the stability, scalability, and velocity of research operations by creating tools and environments for researchers, optimizing build processes, and managing data pipelines. The engineer will work closely with researchers to understand their needs and enable them to leverage high-performance clusters more effectively.

This role is for an Engineering Program Manager at an AI company. The EPM will be responsible for planning, executing, and overseeing complex technical programs, collaborating with cross-functional teams (Engineering, Product, Science, Marketing, Design, Solutions), tracking project progress, improving processes, managing stakeholders, and mitigating risks. The role requires technical expertise, project management excellence, and cross-functional leadership to ensure timely and high-quality delivery of projects, including coordinating model and product releases.

Seeking a Technical Support Engineer for on-premise AI infrastructure to handle escalated technical issues from enterprise clients, troubleshoot complex problems, and collaborate with engineering teams. The role involves investigating, reproducing, and resolving issues related to AI/ML pipelines, LLM/RAG deployments, and GPU acceleration in on-premise environments.

Solutions Architect role focused on driving adoption of Mistral AI's enterprise AI platform and models through pre-sales, implementation, and customer success activities with partners. This role involves technical discovery, onboarding updates, enablement, creating assets, supporting deal progression, experimenting with new models/features, guiding API deployments, and fine-tuning models. It requires strong Python, cloud architecture, and AI/ML deployment skills, with a focus on customer-facing interactions and project management.

This role focuses on identifying and evaluating potential acquisition targets within the AI ecosystem for Mistral AI. The M&A Tech Engineer will conduct technical due diligence, assess technology and teams, and collaborate with various internal teams to inform strategic decisions and integration planning. The role requires a strong technical background in AI/ML concepts and products, with familiarity in areas like Python, Langchain, and vector databases.

This role focuses on guiding customers in deploying and scaling Mistral AI's GenAI solutions, acting as a technical liaison between clients and internal product/science teams. The individual contributor will work on technical discovery, project strategy, product deployment, and customer onboarding, ensuring successful integration of AI models into client infrastructure.

Senior Technical Writer / Developer Educator at Mistral AI, responsible for creating and maintaining high-quality, technically accurate developer-facing documentation for APIs, SDKs, tutorials, and deployment guides. This role involves hands-on technical validation of features and workflows, contributing to documentation strategy, and collaborating closely with Engineering and Product teams to ensure clarity and usability for developers integrating with Mistral's AI products. Experience with AI/ML documentation is preferred.

Lead Documentation Engineer at Mistral AI, responsible for defining the strategic vision for all technical documentation, structuring and standardizing content, building and leading a team of technical writers, and collaborating with Product, Engineering, and Support teams. The role involves driving editorial and technical excellence, optimizing tools and processes, and reporting to the VP of Engineering. Experience with AI/ML concepts is a plus, and familiarity with generative AI tools for documentation is mentioned.

Seeking a Data Engineer with an Analytics Engineering background to build, optimize, and maintain data infrastructure. The role involves working with large datasets to support AI model training, deployment pipelines, and feature stores, as well as enabling business users with data. Requires proficiency in Python, SQL, dbt, and cloud platforms.

Mistral AI is seeking a Security Operations Center (SOC) Analyst to monitor, defend, and respond to threats within their AI ecosystem. The role involves treating security telemetry as core to active defense, ensuring the continuous security of IT, Engineering, Science, Compute, and Infrastructure environments by building robust detection mechanisms and enabling swift automated responses. Responsibilities include centralizing security logs, designing and tuning alert scenarios, operationalizing Cyber Threat Intelligence, investigating security alerts, and driving incident response from containment to remediation.

Mistral AI is seeking a DevSecOps Engineer to secure its AI infrastructure and application lifecycle. The role involves driving threat modeling, vulnerability management, securing Kubernetes and IaC, defining security tooling strategy, and building foundational security automation. The ideal candidate has 5+ years of experience in DevSecOps or Cloud Security, with strong skills in Kubernetes, Terraform, and scripting languages like Python or Go.

Software Engineer, Backend (Golang) at Mistral AI, focusing on developing core systems and APIs for their Cloud solutions, supporting enterprise users, and integrating AI products. Requires 5+ years of experience, Golang proficiency, and cloud infrastructure knowledge.

Seeking a QA Engineer to ensure the reliability, accuracy, and robustness of AI-powered products by designing and executing test strategies for applications, APIs, and machine learning models. This role involves automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver high-quality user experiences.

Software Engineer, Developer Experience at Mistral AI, focusing on building and enhancing CI/CD pipelines, managing multi-cloud infrastructures, and standardizing DevOps practices to improve developer velocity and secure production environments. The role emphasizes collaboration, security, and automation within the software development lifecycle.

Software Engineer, Backend at Mistral AI, responsible for developing core backend systems for AI products like AI Studio, Le Chat, and Mistral Code, serving millions of users and developers. Focuses on scalable, high-performance APIs and distributed systems, collaborating with product and AI teams.

Team Lead for Developer Experience at Mistral AI, focusing on improving developer velocity, code quality, and workflows for AI platform and products. Responsibilities include team leadership, delivery ownership of developer tooling and infrastructure (CI/CD, build systems, registries, code analysis), and hands-on technical leadership in architecture and design.

Mistral AI is seeking a Developer Education Lead to define the strategic vision for all technical documentation. This role involves structuring and standardizing technical content, building and leading a team of technical writers, driving editorial and technical excellence, and reporting directly to the VP of Engineering. The ideal candidate will have 7+ years in technical writing/developer education, with 3+ years leading teams, and experience with AI/ML concepts is a strong plus.

Software Engineer focused on designing, implementing, and scaling search capabilities, including indexing and retrieval pipelines, for internal systems and enterprise customers. Requires experience with distributed search engines, backend development, and infrastructure management.

Seeking experienced Site Reliability Engineers (SRE) to ensure the reliability, scalability, and performance of Mistral AI's Cloud platform and customer-facing applications. Responsibilities include designing and maintaining highly available infrastructures, operating production systems, implementing monitoring and alerting, managing CI/CD and orchestration tools, and collaborating with engineering and security teams. The role involves driving infrastructure automation, supporting model-training experiments, and contributing to the cloud platform's abstraction layer.