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.