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Location: Czechia About Flosum Flosum is a leading Salesforce-native DevOps platform that enables enterprises to manage and accelerate their Salesforce development lifecycle with security, compliance, and efficiency at scale. Built entirely on Salesforce, Flosum empowers teams to streamline releases, improve governance, and drive faster innovation. Role Overview We're looking for a driven, relationship-first Account Manager to own and grow a portfolio of enterprise accounts. You'll be the primary point of contact for a set of high-value customers — responsible for renewal, expansion, and long-term success. You'll partner closely with Sales, Customer Success, and Product to ensure our customers see measurable impact from our platform and grow with us over time. Requirements Own a portfolio of accounts, managing the post-sale lifecycle including QBRs, renewals, and expansions. Build and maintain multi-threaded relationships across economic buyers, executives, and champions within each account. Proactively identify upsell and cross-sell opportunities and drive net revenue retention above 120%. Partner with Customer Success Managers to ensure product adoption, time-to-value, and health scores are on track and gross revenue retention above 93%. Lead executive business reviews and translate platform data into business-relevant insights for C-suite stakeholders. Forecast renewal and expansion revenue accurately in Salesforce on a monthly and quarterly basis. Serve as the voice of the customer internally — surfacing product feedback, risks, and opportunities to Product and Leadership. Navigate complex contract negotiations and procurement cycles with legal and finance stakeholders. Required Qualifications 6+ years in Account Management, Sales, or a quota-carrying role in B2B SaaS Demonstrated track record of meeting or exceeding GRR, NRR, upsell, and renewal targets on enterprise accounts ($100K+ ACV). Strong executive presence — comfortable engaging VP and C-level stakeholders in strategic conversations. Experience managing complex, multi-stakeholder accounts with long sales cycles. Excellent written and verbal communication skills; ability to build trusted advisor relationships. Strong commercial acumen — able to construct ROI narratives and business cases for expansion. Experience working with SaaS platforms, preferably in the Salesforce ecosystem Strong understanding of Salesforce (Admin, DevOps, or development lifecycle concepts preferred) Preferred Qualifications Experience with Salesforce DevOps tools or release management processes Familiarity with CI/CD, version control, or agile development practices Background working with enterprise customers Salesforce certifications (Admin, Platform App Builder, etc.)

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Location: Paris; Palo Alto; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Strategic Data & Licensing Partnerships Negotiator on the Strategic Data & Licensing Partnerships team, you will drive the acquisition of premium content and negotiate complex agreements to secure high-value data and content for AI training, RAG, and distribution. Your work will enable Mistral AI to access quality, relevant sources while building long-term relationships with publishers, universities, research institutions, and data providers. You will collaborate closely with cross-functional teams to align content sourcing with Mistral AI’s strategic interests, ensuring innovative and ethical use of data. This role is for a results-driven negotiator who thrives in high-stakes deal-making and understands the intersection of AI, academic content, and ethical data practices. WHAT YOU WILL DO - Build and manage a pipeline of high-quality content (STEM, academic, robotics, multimedia) while vetting providers for legal and business compliance. - Negotiate complex, multi-pronged agreements (licensing, revenue-sharing, co-development) with publishers, universities, and research institutions. - Develop long-term partnerships that promote fair compensation and sustainability for content creators and owners. - Collaborate with internal teams (Science, Product, Go To Market) to align procurement with their objectives and evaluate "make vs. buy" options. - Provide regular reports and analytics on procurement activities to support data-driven decision-making. - Design programs that foster ethical and scalable content sourcing, balancing internal development with external licensing. WHAT WE'RE LOOKING FOR - Proven track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements. - Deep understanding of AI training data ecosystems and the ability to translate technical needs into business terms. - Legal acumen in data acquisition and content licensing, including knowledge of global copyright laws. - Strong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field) and passion for academic content. - Excellent communication and stakeholder management skills, with experience negotiating with C-level stakeholders. - Business acumen in market analysis and financial modeling (e.g., DCF analysis). - Fluency in English and French; additional languages (e.g., German) are a plus. - Existing network in publishing, academic, or research communities or experience with AI training data (pretraining, RAG, synthetic data). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Palo Alto; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a US Patent Attorney on the legal team, you will transform cutting-edge research into a strategic intellectual property portfolio that protects Mistral AI’s innovations and supports its global growth. You will work closely with research, engineering, and product teams to identify, prioritize, and secure patentable inventions, shaping the future of open-source AI while aligning IP strategy with the company’s mission. The legal team, currently comprising 30 people across Paris, London and Palo Alto, covers compliance, IP, contracts, and corporate matters. Your role will have a direct impact on defining AI standards, securing strategic assets, and embedding IP thinking into the company’s culture and processes. WHAT YOU WILL DO - Identify and prioritize patentable inventions by engaging with researchers, engineers, and product managers, advising on trade secrets vs. patent filings. - Draft invention memos and patent applications, translating complex technical ideas into clear, defensible disclosures. - Manage global patent prosecution, including office action responses and outside counsel, to ensure high-quality filings. - Develop and maintain internal IP processes, tools, and documentation, including dashboards for tracking filings, deadlines, and portfolio metrics. - Support M&A due diligence by assessing IP portfolios, freedom-to-operate risks, and competitive positioning of targets. - Administer and evolve the inventor recognition program, including bonuses, awards, and visibility initiatives. - Align patent strategy with Mistral’s open-source objectives and recommend participation in defensive patent networks or alliances. WHAT WE'RE LOOKING FOR - Proven experience drafting patents in complex software/AI domains, with a deep understanding of AI patent eligibility in the US and Europe. - Hands-on experience with LLMs or other GenAI technologies, including the ability to decode and articulate technical concepts like model architectures or training methods. - Experience selecting, managing, and optimizing external patent firms to ensure high-quality, cost-effective prosecution. - Ability to engage with researchers and engineers, extract critical information, and explain IP concepts to non-legal audiences. - Self-driven and resourceful, with a talent for anticipating needs, engaging stakeholders, and documenting processes. - Business acumen to understand how patents drive value for a scale-up, combined with familiarity with open-source licenses and their intersection with patents. - Fluent English (required for legal/technical writing); WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Code Data Annotation Quality Specialist on the Human Data Annotation team, you will play a dual role in ensuring the quality of code annotations and maintaining the tools that support annotators. This role exists to uphold the highest standards for data used in training and evaluating AI models, while also improving the workflows and tools that enable efficient annotation. You will spend most of your time reviewing and auditing annotations against rubrics, with the remainder focused on building, maintaining, and troubleshooting internal tooling. Your collaboration with annotators, technical program managers, and engineers will help refine the guidelines and processes that shape how our data is produced. WHAT YOU WILL DO - Generate and validate high-quality data annotations based on guidelines and continuous feedback. - Surface systemic issues, edge cases, and gaps in guidelines to annotation operations and technical stakeholders. - Produce annotations yourself to model the quality bar expected of the team. - Build and maintain internal tools and automation to streamline annotator workflows, such as dashboards, scripts, and utilities. - Troubleshoot environment, tooling, and version control issues for annotators, liaising with IT and engineering as needed. - Collaborate with stakeholders to refine guidelines and processes for data production. WHAT WE'RE LOOKING FOR - A degree in computer science, engineering, or a related field, or 2 to 5 years of professional experience in software engineering, technical support, or tool development. - Hands-on experience using code agents in your development workflow and a genuine interest in their evolution. - Proficiency in at least one programming language (e.g., Python, JavaScript), with the ability to read and reason about code across multiple languages. - Ability to apply consistent judgment against a rubric and identify edge cases, ambiguities, or gaps in guidelines. - Sustained focus and accuracy for detail-oriented, high-volume review work. - Comfort working in a Unix-like terminal, including shell basics, package managers, environment setup, and version control workflows. - Ability to troubleshoot local development environment issues across common operating systems. - Professional proficiency in English, with strong writing and comprehension skills. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Data Quality Specialist on the Human Data Annotation team, you will ensure the highest standards of quality and efficiency in human data annotations. This role exists to support the development and evaluation of AI models by creating and auditing annotations that meet rigorous guidelines. You will work closely with the technical team to refine annotation processes, tools, and guidelines, directly contributing to the accuracy and reliability of our models. Your attention to detail and analytical skills will help maintain the integrity of the data that powers Mistral’s AI systems. What You Will Do - Create high-quality data annotations based on guidelines and continuous feedback. - Review and audit annotations to clarify requirements and improve annotation processes. - Collaborate with the technical team to share insights that enhance tools and guidelines. - Apply strong research and analytical skills to ensure data accuracy and consistency. - Exercise sound judgment when working with complex instructions, limited data, or multiple information sources. - Adapt to dynamic environments and evolving requirements to maintain high standards. - Contribute to operational workflows with a high tolerance for repetitive tasks. What We're Looking For - Relevant academic background in science, technology, engineering, or mathematics. - Professional proficiency in English, with strong writing and comprehension skills. - Outstanding research and analytical abilities to ensure data quality. - Excellent communication, interpersonal, and organizational skills. - Ability to adapt easily to changing requirements and dynamic environments. - Willingness to engage in operational work and learn new tools and technologies. - Experience with data, fluency in multiple languages, or familiarity with code is a plus.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role exists to ensure the physical safety, regulatory compliance, and operational resilience of Mistral's HQ. As a member of the global security team, you will shape and execute the HQ's physical security strategy for one of the world’s leading AI companies, directly impacting the protection of employees, assets, and intellectual property. Your work will establish Mistral's HQ as a benchmark for physical security in the tech sector, enabling business growth while mitigating risks in a cutting-edge, AI-driven environment. You will own the end-to-end physical security framework—from access control and surveillance to crisis response—collaborating closely with French authorities (Police, Gendarmerie, ANSSI) and internal stakeholders. This is a unique opportunity to build a scalable, compliant, and innovative security model that sets the standard for Mistral's expansion across Europe. WHAT YOU WILL DO - Define and implement a unified physical security strategy for Mistral AI’s France facilities, aligning global policies with local regulations. - Lead the consolidation and management of security vendors under SLAs, ensuring performance, cost-efficiency, and compliance. - Establish a regulatory compliance program to achieve 100% adherence to French/EU laws (CNIL, RGPD, NIS2) and industry standards (ISO 27001/28000). - Deploy state-of-the-art security technologies, including AI-powered surveillance, access control, and intrusion detection systems. - Develop and test crisis response frameworks, including emergency protocols for evacuations, lockdowns, and high-impact incidents. - Formalize liaison protocols with French authorities to enable threat intelligence sharing and collaborative security measures. - Optimize the France security budget (€1M–3M/year) through vendor consolidation, efficiency gains, and risk-based prioritization. - Measure and report on security performance, ensuring zero major incidents and continuous improvement of safety standards. WHAT WE ARE LOOKING FOR - Proven experience designing and implementing physical security programs for large, high-stakes facilities or multi-site operations. - Vendor management expertise with a track record of consolidating, negotiating, and optimizing security service contracts (e.g., guard services, CCTV, access control). - Crisis leadership with hands-on experience developing and testing emergency response protocols for incidents like protests, cyber-physical threats, or natural disasters. - Deep knowledge of French/EU compliance frameworks (CNIL, RGPD, NIS2, ISO 27001/28000) and a history of leading audits or certifications. - Builder mentality—thrives in ambiguous environments, turning strategy into scalable, operational security solutions. - Data-driven decision-making—uses KPIs, risk assessments, and metrics to continuously improve security posture. - Resilience under pressure—maintains clarity and effectiveness in high-stakes, fast-evolving situations. - Uncompromising integrity—upholds the highest ethical standards, ensuring confidentiality and trust in sensitive contexts. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Key Responsibilities: — Develop and implement gameplay mechanics, systems, and tools. — Collaborate with designers and artists to bring game features to life. — Optimize code for performance and memory usage. — Debug and resolve technical issues throughout the development cycle. — Contribute to the design and improvement of game engines and pipelines. Requirements: — Proven experience as a Programmer in game development or a related field. — Proficiency in programming languages like C++, C#, or Python. — Experience with game engines like Unreal Engine or Unity. — Strong problem-solving and debugging skills. — Excellent communication and teamwork abilities. Preferred Qualifications: — Experience with multiplayer or networked game development. — Knowledge of graphics programming (e.g., HLSL, GLSL). — Familiarity with AI programming and physics simulations. What We Offer: — Competitive salary and benefits. — Opportunity to work on exciting, high-profile game projects. — Collaborative and inclusive work environment. — Professional growth and development opportunities.

Location: Yanbu, Saudi Arabia; Manila, Philippines; Colombo, Sri Lanka; Dubai, United Arab Emirates; Kuala Lumpur, Malaysia; Kampala, Uganda Eram Talent, a reputable talent acquisition consultancy focused on providing top-notch recruitment solutions for its clients, is seeking to hire a Mechanical Technician for its Oil and Energy division. As a Mechanical Technician at Eram Talent, you will be responsible for ensuring that the mechanical systems and components of various projects, particularly in the oil and energy sector, are installed and maintained efficiently. You will also work closely with other technicians to analyze and troubleshoot mechanical issues, as well as recommend effective solutions for clients. Eram Talent prides itself on its extensive global reach and network, which ensures that high-potential professionals with sophisticated skills from various industries are recruited to meet the needs of clients across different geographies. Responsibilities S hould have a Diploma in Mechanical engineering or vocational certificate in appropriate discipline and a minimum experience of 5 year in mechanical maintenance of equipment similar those in a large utility company or experience in large petrochemical /refinery .shall have been in the field of repair, maintenance servicing and overhaul. He should have experience in operation of mechanical and electro mechanical equipment and system He shall be conversant with usage of measuring and testing instrument. Maintain and repair mechanical systems and components in various oil and energy projects. Perform routine maintenance on mechanical equipment and machinery. Monitor and inspect mechanical systems and related work to ensure compliance with safety regulations and industry standards. Troubleshoot and diagnose mechanical problems and recommend effective repair solutions. Read and interpret technical drawings and schematics related to mechanical projects. Collaborate with other technicians and engineers to provide effective mechanical solutions. Participate in the commissioning and start-up of new mechanical systems. Requirements Proven experience as a mechanical technician in a utility industry. Strong knowledge of mechanical systems, equipment, and components. Demonstrated ability to read and interpret technical drawings and schematics. Excellent analytical and problem-solving skills. Good communication and interpersonal skills. Ability to work under pressure and handle multiple tasks efficiently. Knowledge of safety regulations and industry standards.

Location: Remote - Canada We’re introducing Rust where correctness, performance, and reliability truly matter. Narvar is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us bring Rust into the backbone of the system — the parts that must be fast, safe, and correct under real-world scale. This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide what gets built and how it should be built. For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote. Day-to-day Design and build high-correctness Rust services that sit on critical platform paths Introduce Rust into areas where safety, determinism, and performance are essential Own systems from architecture → implementation → rollout → operations Make real decisions around concurrency, async boundaries, data integrity, and failure modes Work across service boundaries in a polyglot environment (Rust alongside other stacks) Collaborate with product, design, and frontend engineers to build systems that are technically sound and product-aware Improve reliability, observability, and system behavior through design, not just patching Mentor other engineers and raise the bar on system quality and ownership What We’re Looking For We care more about judgment and ownership than credentials. You’re likely a strong fit if you: Have built and operated distributed systems in production Have deep hands-on Rust experience (not just experiments or side projects) Understand where Rust shines — and where it doesn’t Are comfortable reasoning about concurrency, async systems, and correctness guarantees Have experience designing APIs and data contracts that evolve safely over time Have worked with relational and/or NoSQL databases at scale Have deployed and operated services in AWS or GCP (We are a GCP Shop though!) Take initiative naturally and are comfortable operating with ambiguity Communicate clearly and make tradeoffs explicit Bonus Points These aren’t hard requirements, but strong indicators: You’ve worked in startup or high-ownership environments You’ve owned systems in production, including on-call responsibility You’re comfortable moving across the stack when needed (backend-first, full-stack aware) You’ve influenced architecture by earning trust, not by mandate You use modern tooling (including AI-assisted workflows) to increase leverage , not outsource thinking (Note: we care about outcome and judgment, not how flashy your tools are.) Why Rust at Narvar? Because some parts of the system deserve stronger guarantees. We use Rust where: Bugs are expensive Latency and throughput matter Safety and correctness are non-negotiable You’ll help define where Rust belongs , not just write Rust in isolation. Why Narvar (From an Engineer’s Perspective)? Real scale, real customers, real impacts Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work Why Narvar? We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   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! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Montréal ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in French and English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why joining 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! 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! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Product Manager on the Studio team, you will define and execute the product strategy for one of our squads : Workflows, Observability, AI Registry & Spaces, Harness & Agent Platform, APIs & SDKs, and more. This role exists to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions. Our Studio product provides the infrastructure enterprises need to move from prototypes to production, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. Your squad will focus on a specific area directly impacting how enterprises deploy and manage AI systems. You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. Your work will shape the standards, traceability, and continuous improvement that turn AI into a dependable operational capability. What You Will Do - Define and communicate a clear product strategy for AI tools, aligned with company goals and market opportunities. - Lead market and user research to uncover unmet needs and emerging trends. - Drive end-to-end product development, from concept to launch and iteration. - Partner with design and research to create effective user experiences. - Collaborate with marketing and sales to launch products, including pricing and positioning. - Align engineering, design, and business teams around priorities and trade-offs. - Maintain a roadmap that balances short-term results and long-term goals. What We're Looking For - Experience with AI products, including large language models or machine learning, and understanding of technical trade-offs. - Experience launching and scaling products, particularly in early-stage environments. - Commitment to solving real user problems, using data and qualitative insights. - Proven ability to align and inspire cross-functional teams without direct authority. - Balance between strategic thinking and hands-on problem-solving. - Strong communication skills for executives, teams, and users. - Ability to thrive in dynamic environments where priorities shift. - Self-directed, taking initiative to navigate unknowns and own outcomes. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an Engineering Manager on the Product Engineering team, you will lead the development of systems that power our AI platform and products. This role combines technical expertise with team leadership to ensure we build scalable, reliable solutions for millions of users. Our product engineering teams, typically ten members, turn AI research into production systems. Your work will influence how our engineering organization operates and how we deliver products to developers and end users. You will balance technical contributions with team management, partnering with Product Managers to align engineering work with business objectives. The role is key to maintaining engineering standards, clear processes, and consistent delivery. What You Will Do - Serve as the primary contact for your team, removing obstacles to execution. - Own delivery of your team’s roadmap, ensuring projects meet quality and performance standards. - Partner with Product Managers to define roadmap, scope initiatives, and drive prioritization. - Contribute to architecture, system design, and code reviews, leading by example. - Define and evolve team processes to maintain clarity as the team scales. - Challenge engineers to take ownership and increase team resilience through knowledge sharing. - Hold your team accountable for results and execution. - Keep the team engaged in product direction. What We're Looking For - Technical expertise in building scalable systems. - Experience leading engineering teams. - Ability to balance technical work with team management. - Experience partnering with Product Managers to align goals. - Ability to build team culture and establish processes. - Ability to improve engineering standards and ensure quality. - Experience shaping engineering organizations. - Experience turning research into production systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Backend Engineer on the Engineering team, you will build the core systems that power our AI platform. Our team develops the backend infrastructure and APIs that enable Studio, Vibe, and Vibe Code, shaping how millions of users and developers interact with our technology. Your work will directly affect the reliability, performance, and scalability of our products. We focus on creating robust, high-performance systems that support authentication, billing, AI tooling, and developer experience. By joining us, you will contribute to a platform that enables both internal teams and external users to build and deploy AI applications. What You Will Do - Design, develop, and maintain scalable backend features and APIs that power our AI platform. - Ensure high performance and reliability across distributed systems serving millions of users. - Build and improve systems for authentication, billing, AI tooling, and developer experience. - Design and implement secure, scalable architectures to support our growing products. - Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. - Write clean, maintainable, and well-documented code. - Partner with cross-functional teams to deliver end-to-end features. - Solve complex engineering challenges and integrate new technologies into production. What We're Looking For - Experience designing and building scalable backend systems and APIs. - Strong problem-solving skills and ability to tackle complex engineering challenges. - Experience with distributed systems and performance optimization. - Ability to write clean, maintainable, and well-documented code. - Experience with system architecture and secure, scalable design. - Strong collaboration skills and ability to work with cross-functional teams. - Experience with modern backend frameworks and technologies. - Eagerness to learn, iterate, and deliver products. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact. WHAT YOU WILL DO • Individually deploy AI solutions into production for use cases with significant operational and strategic impact. • Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers. • Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning. • Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders. • Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • PhD or Master's in AI, Machine Learning, Computer Science, or related field. • 2+ years of experience in AI/ML • Proven track record of leading teams to deliver complex AI projects from prototyping to production. • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. • Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus. • Strong software engineering skills: API design, backend/full-stack development, system architecture. • Excels in technical communication with technical and non-technical audiences, including executives. • Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.   IT WOULD BE GREAT IF YOU • Have experience with React or other frontend frameworks. • Have experience with Deep Learning in PyTorch • Contributed to open-source projects in the LLM or AI space. • Have experience in customer-facing roles with a focus on enterprise AI adoption. SECURITY & COMPLIANCE CRITERIA • Eligibility: must hold citizenship in the target territory (France for now). • Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.