About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Role summary We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you'll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You'll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers at all levels from fresh graduates to senior and staff engineers and who are eager to learn, collaborate and ship impactful products. What you will do Depending on your skills and field of expertise, you will be involved in key components of our technology, including: Backend Development Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience. System Architecture Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant. About you Degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang). Engineers are assessed in their preferred language during a live coding session. Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. Strong problem-solving abilities and attention to detail. Ownership mindset capable of shipping end-to-end features with minimal oversight. Excellent communication skills and collaborative attitude. Team-oriented, low-ego mindset and curiosity for learning. Now, it would be ideal if you had experience with: Front-end development (TypeScript, React, NextJS ) or full-stack exposure Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform ) AI/ML engineering Observability and monitoring tools (Prometheus, Grafana, Datadog ) UX and product-centric mindset. Hiring Process Introduction call - 45 min Live-coding interview - 45 min System Design interview - 45 min Hiring Manager interview - 30 min Deep Dive Interview (only for leads & staff engineers) - 60 min Culture-fit discussion - 30 min Reference checks Our Culture Reason with rigor Are you audacious enough? Make our customers succeed Ship early and accelerate Leave your ego aside Engineering blog Our first Engineering blog post is live, you can check it out here! Location & Remote The position is based in our London office and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours. What we offer Competitive salary and equity (stock-options) Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Generous parental leave policy Visa sponsorship
03/02/2026
Full time
About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Role summary We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you'll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You'll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers at all levels from fresh graduates to senior and staff engineers and who are eager to learn, collaborate and ship impactful products. What you will do Depending on your skills and field of expertise, you will be involved in key components of our technology, including: Backend Development Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience. System Architecture Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant. About you Degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang). Engineers are assessed in their preferred language during a live coding session. Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. Strong problem-solving abilities and attention to detail. Ownership mindset capable of shipping end-to-end features with minimal oversight. Excellent communication skills and collaborative attitude. Team-oriented, low-ego mindset and curiosity for learning. Now, it would be ideal if you had experience with: Front-end development (TypeScript, React, NextJS ) or full-stack exposure Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform ) AI/ML engineering Observability and monitoring tools (Prometheus, Grafana, Datadog ) UX and product-centric mindset. Hiring Process Introduction call - 45 min Live-coding interview - 45 min System Design interview - 45 min Hiring Manager interview - 30 min Deep Dive Interview (only for leads & staff engineers) - 60 min Culture-fit discussion - 30 min Reference checks Our Culture Reason with rigor Are you audacious enough? Make our customers succeed Ship early and accelerate Leave your ego aside Engineering blog Our first Engineering blog post is live, you can check it out here! Location & Remote The position is based in our London office and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours. What we offer Competitive salary and equity (stock-options) Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Generous parental leave policy Visa sponsorship
A leading AI technology company in Greater London is seeking passionate Backend Engineers. This role involves developing core systems for their innovative products. Candidates should have proficiency in backend languages like Python and a strong understanding of APIs and databases. The ideal candidate will excel in collaboration and problem-solving. Competitive salary and benefits offered, with a hybrid working model encouraging office attendance at least 3 days a week.
03/02/2026
Full time
A leading AI technology company in Greater London is seeking passionate Backend Engineers. This role involves developing core systems for their innovative products. Candidates should have proficiency in backend languages like Python and a strong understanding of APIs and databases. The ideal candidate will excel in collaboration and problem-solving. Competitive salary and benefits offered, with a hybrid working model encouraging office attendance at least 3 days a week.
A cutting-edge AI technology firm in Greater London is seeking an Applied AI Engineer focused on DevOps to facilitate product adoption and tackle complex technical challenges. You'll collaborate with a dynamic team, deploy high-stake AI applications, and interface directly with customers. A Bachelor's or Master's in Computer Science and 2+ years in DevOps are essential. Competitive salary and robust benefits including health insurance and pension plan offered.
03/02/2026
Full time
A cutting-edge AI technology firm in Greater London is seeking an Applied AI Engineer focused on DevOps to facilitate product adoption and tackle complex technical challenges. You'll collaborate with a dynamic team, deploy high-stake AI applications, and interface directly with customers. A Bachelor's or Master's in Computer Science and 2+ years in DevOps are essential. Competitive salary and robust benefits including health insurance and pension plan offered.
About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. Role Summary As Mistral's first Director of Systems Integrators, you will build and lead our global SI ecosystem, turning top GSIs into strategic growth engines for our AI platform. This is a high-impact, revenue-critical role where you'll: Define and execute Mistral's SI partnership strategy, aligning with our GTM, product, and engineering teams. Negotiate and close global SI agreements, ensuring Mistral's open-source models are embedded in enterprise workflows. Build and scale a high-performance SI team, setting the playbook for how we collaborate, co-sell, and co-innovate with the world's largest integrators. You'll work directly with Mistral's founders and executive team, shaping how enterprises adopt AI-from pilot to production. What you will do Strategic Partnerships Lead end-to-end SI relationships, from initial engagement to joint go-to-market execution. Develop and launch co-branded offerings with top GSIs, ensuring Mistral's platform is the default choice for enterprise AI. Drive alignment between SI sales/technical teams and Mistral's GTM org, removing blockers and accelerating deals. Establish executive sponsorship at SI partners, ensuring Mistral is a top-tier priority in their AI practice. Team & Ecosystem Leadership Hire, coach, and mentor a world-class SI team, setting clear performance expectations and a culture of ownership. Collaborate with Product/Engineering to ensure our platform meets SI and enterprise needs (e.g., on-prem deployments, custom integrations). Enable SI consultants to sell, deploy, and support Mistral's solutions at scale. GTM Collaboration Integrate SI-led selling into Mistral's global GTM motion, working closely with regional sales leaders. Host quarterly business reviews with SI execs to track progress, resolve issues, and unlock new opportunities. Must Have You've built and scaled SI partnerships at a top cloud provider, AI startup, or enterprise software company Player-coach: Equally skilled at leading a team and closing high-stakes deals Builder mentality: You thrive in early-stage, high-growth environments-creating playbooks, not following them You understand AI/ML deployment, cloud architectures, and enterprise sales motions Executive presence: You can align C-level stakeholders on strategy and execution Nice-to-Have Experience with open-source or commercial open-source models EMEA enterprise expertise, including navigating regulatory and local SI landscapes What we offer France: Competitive cash salary and equity. Daily lunch vouchers, sport, transportation, health, parental leave, visa sponsorship, coaching. United Kingdom: Competitive cash salary and equity. Health Insurance, transport, gym allowance, food allowance, pension plan, parental leave, visa sponsorship.
03/02/2026
Full time
About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. Role Summary As Mistral's first Director of Systems Integrators, you will build and lead our global SI ecosystem, turning top GSIs into strategic growth engines for our AI platform. This is a high-impact, revenue-critical role where you'll: Define and execute Mistral's SI partnership strategy, aligning with our GTM, product, and engineering teams. Negotiate and close global SI agreements, ensuring Mistral's open-source models are embedded in enterprise workflows. Build and scale a high-performance SI team, setting the playbook for how we collaborate, co-sell, and co-innovate with the world's largest integrators. You'll work directly with Mistral's founders and executive team, shaping how enterprises adopt AI-from pilot to production. What you will do Strategic Partnerships Lead end-to-end SI relationships, from initial engagement to joint go-to-market execution. Develop and launch co-branded offerings with top GSIs, ensuring Mistral's platform is the default choice for enterprise AI. Drive alignment between SI sales/technical teams and Mistral's GTM org, removing blockers and accelerating deals. Establish executive sponsorship at SI partners, ensuring Mistral is a top-tier priority in their AI practice. Team & Ecosystem Leadership Hire, coach, and mentor a world-class SI team, setting clear performance expectations and a culture of ownership. Collaborate with Product/Engineering to ensure our platform meets SI and enterprise needs (e.g., on-prem deployments, custom integrations). Enable SI consultants to sell, deploy, and support Mistral's solutions at scale. GTM Collaboration Integrate SI-led selling into Mistral's global GTM motion, working closely with regional sales leaders. Host quarterly business reviews with SI execs to track progress, resolve issues, and unlock new opportunities. Must Have You've built and scaled SI partnerships at a top cloud provider, AI startup, or enterprise software company Player-coach: Equally skilled at leading a team and closing high-stakes deals Builder mentality: You thrive in early-stage, high-growth environments-creating playbooks, not following them You understand AI/ML deployment, cloud architectures, and enterprise sales motions Executive presence: You can align C-level stakeholders on strategy and execution Nice-to-Have Experience with open-source or commercial open-source models EMEA enterprise expertise, including navigating regulatory and local SI landscapes What we offer France: Competitive cash salary and equity. Daily lunch vouchers, sport, transportation, health, parental leave, visa sponsorship, coaching. United Kingdom: Competitive cash salary and equity. Health Insurance, transport, gym allowance, food allowance, pension plan, parental leave, visa sponsorship.
About Mistral About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job About The Job Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you'll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. What you will do You'll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. You'll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. You'll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. About you You are fluent in English You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field You have 2+ years of experience in a DevOps or Site Reliability Engineering role You're experienced with deploying and managing AI-based products in production environments You are fluent in Python You have experience with containerization technologies such as Docker and Kubernetes You have experience with CI/CD pipelines and automated deployment tools You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences Ideally you have: Ideally you have: Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager Familiarity with AI frameworks such as PyTorch or TensorFlow Contributions to open-source projects, particularly in the space of DevOps or AI Benefits Benefits We have local offices in Paris, London, Marseille and Singapore. France: Competitive cash salary and equity; Food: Daily lunch vouchers; Sport: Monthly contribution to a Gympass subscription; Transportation: Monthly contribution to a mobility pass; ️ Health: Full health insurance for you and your family; Parental: Generous parental leave policy; Visa sponsorship UK: Competitive cash salary and equity; Insurance; Transportation: Reimburse office parking charges, or 90GBP/month for public transport; Sport: 90GBP/month reimbursement for gym membership; Meal voucher: £200 monthly allowance for its meals; Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
02/02/2026
Full time
About Mistral About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job About The Job Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you'll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. What you will do You'll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. You'll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. You'll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. About you You are fluent in English You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field You have 2+ years of experience in a DevOps or Site Reliability Engineering role You're experienced with deploying and managing AI-based products in production environments You are fluent in Python You have experience with containerization technologies such as Docker and Kubernetes You have experience with CI/CD pipelines and automated deployment tools You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences Ideally you have: Ideally you have: Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager Familiarity with AI frameworks such as PyTorch or TensorFlow Contributions to open-source projects, particularly in the space of DevOps or AI Benefits Benefits We have local offices in Paris, London, Marseille and Singapore. France: Competitive cash salary and equity; Food: Daily lunch vouchers; Sport: Monthly contribution to a Gympass subscription; Transportation: Monthly contribution to a mobility pass; ️ Health: Full health insurance for you and your family; Parental: Generous parental leave policy; Visa sponsorship UK: Competitive cash salary and equity; Insurance; Transportation: Reimburse office parking charges, or 90GBP/month for public transport; Sport: 90GBP/month reimbursement for gym membership; Meal voucher: £200 monthly allowance for its meals; Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low ego and team spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Role Summary We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations. Location: Remote - Europe Reporting line: Team Lead, Site Reliability Engineer What you will do As a Site Reliability Engineer, you balance the day to day operations on production systems with long term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems. Operations (50%) Design, build, and maintain scalable, highly available and fault tolerant infrastructures to support our web services and ML workloads Ensure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters Operate systems and troubleshoot issues in production environments (interrupts, on call responses, user admin, data extraction, infrastructure scaling, etc.) Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client facing APIs and large training runs Participate occasionally in on call rotations to respond to incidents and perform root cause analysis to prevent future occurrences Development (50%) Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model training experiments Build a cloud agnostic platform offering an abstraction layer between science and infrastructure Design and develop new workflows and tooling to improve reliability, availability and performance of our systems (automation scripts, refactoring, new API based features, web apps, dashboards, etc.) Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements Document processes and procedures to ensure consistency and knowledge sharing across the team Contribute to open source projects, research publications, blog articles and conferences About you Master's degree in Computer Science, Engineering or a related field 7+ years of experience in a DevOps/SRE role Strong experience with cloud computing and highly available distributed systems Exposure to site reliability issues in critical environments (issue root cause analysis, in production troubleshooting, on call rotations ) Experience working against reliability KPIs (observability, alerting, SLAs) Hands on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes ) Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog ) Familiarity with infrastructure as code tools like Terraform or CloudFormation Proficiency in scripting languages (Python, Go, Bash ) and knowledge of software development best practices Strong understanding of networking, security, and system administration concepts Excellent problem solving and communication skills Self motivated and able to work well in a fast paced startup environment Your additional experience Experience in an AI/ML environment Experience with high performance computing (HPC) systems and workload managers (Slurm) Worked with modern AI oriented solutions (Fluidstack, Coreweave, Vast ) Location & Remote This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting - currently France, UK, Germany, Belgium, Netherlands, Spain and Italy. In that case, we ask all new hires to visit our Paris office: for the first week of their onboarding (accommodation and travelling covered) then at least 3 days per month What we offer Competitive salary and equity ️ Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Parental : Generous parental leave policy Visa sponsorship
02/02/2026
Full time
About Mistral 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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low ego and team spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Role Summary We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations. Location: Remote - Europe Reporting line: Team Lead, Site Reliability Engineer What you will do As a Site Reliability Engineer, you balance the day to day operations on production systems with long term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems. Operations (50%) Design, build, and maintain scalable, highly available and fault tolerant infrastructures to support our web services and ML workloads Ensure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters Operate systems and troubleshoot issues in production environments (interrupts, on call responses, user admin, data extraction, infrastructure scaling, etc.) Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client facing APIs and large training runs Participate occasionally in on call rotations to respond to incidents and perform root cause analysis to prevent future occurrences Development (50%) Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model training experiments Build a cloud agnostic platform offering an abstraction layer between science and infrastructure Design and develop new workflows and tooling to improve reliability, availability and performance of our systems (automation scripts, refactoring, new API based features, web apps, dashboards, etc.) Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements Document processes and procedures to ensure consistency and knowledge sharing across the team Contribute to open source projects, research publications, blog articles and conferences About you Master's degree in Computer Science, Engineering or a related field 7+ years of experience in a DevOps/SRE role Strong experience with cloud computing and highly available distributed systems Exposure to site reliability issues in critical environments (issue root cause analysis, in production troubleshooting, on call rotations ) Experience working against reliability KPIs (observability, alerting, SLAs) Hands on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes ) Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog ) Familiarity with infrastructure as code tools like Terraform or CloudFormation Proficiency in scripting languages (Python, Go, Bash ) and knowledge of software development best practices Strong understanding of networking, security, and system administration concepts Excellent problem solving and communication skills Self motivated and able to work well in a fast paced startup environment Your additional experience Experience in an AI/ML environment Experience with high performance computing (HPC) systems and workload managers (Slurm) Worked with modern AI oriented solutions (Fluidstack, Coreweave, Vast ) Location & Remote This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting - currently France, UK, Germany, Belgium, Netherlands, Spain and Italy. In that case, we ask all new hires to visit our Paris office: for the first week of their onboarding (accommodation and travelling covered) then at least 3 days per month What we offer Competitive salary and equity ️ Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Parental : Generous parental leave policy Visa sponsorship
About The Job 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, Forward Deployed Machine Learning Engineer will be an integral part of our Applied AI team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use cases. They will work hand in hand with customers from the pre sale stage to post implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings. What you will do You'll individually help deploy into production use cases with a considerable business impact across various industries. You'll work on state of the art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. You'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. You'll be involved in pre sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback About you You are fluent in English You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products You have proven experience in AI or machine learning product implementation with APIs, back end and front end interfaces. You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases You have deep understanding of concepts and algorithms underlying machine learning and LLMs You have strong technical coding skills in Python You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non technical audiences Ideally you have 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 You have experience with deep learning with Pytorch Why join us? You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world class team, and contribute to open source projects that impact millions. If you're excited about leading technical innovation and solving real world challenges with AI, we'd love to hear from you!
02/02/2026
Full time
About The Job 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, Forward Deployed Machine Learning Engineer will be an integral part of our Applied AI team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use cases. They will work hand in hand with customers from the pre sale stage to post implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings. What you will do You'll individually help deploy into production use cases with a considerable business impact across various industries. You'll work on state of the art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. You'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. You'll be involved in pre sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback About you You are fluent in English You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products You have proven experience in AI or machine learning product implementation with APIs, back end and front end interfaces. You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases You have deep understanding of concepts and algorithms underlying machine learning and LLMs You have strong technical coding skills in Python You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non technical audiences Ideally you have 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 You have experience with deep learning with Pytorch Why join us? You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world class team, and contribute to open source projects that impact millions. If you're excited about leading technical innovation and solving real world challenges with AI, we'd love to hear from you!