{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/mistral"},"x-facet":{"type":"skill","slug":"mistral","display":"Mistral","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_290c3d28-4b2"},"title":"Partner Solution Architect - ASEAN","description":"<p>About Mistral AI</p>\n<p>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.</p>\n<p>We are a global company with teams distributed between France, USA, UK, Germany and Singapore. We are a diverse workforce that thrives in competitive environments and is committed to driving innovation.</p>\n<p>Why This Role Matters</p>\n<p>You will be the technical linchpin between Mistral and our strategic partners in ASEAN (Nvidia, Dell, Hyperscalers, Global System Integrators), translating our open-weight models and sovereign AI architecture into deployable, scalable solutions.</p>\n<p>By designing joint architectures, influencing partner GTM motions, and earning a seat at the CIO/CTO table, you will accelerate Mistral’s technical credibility and deployment velocity across Asia Pacific.</p>\n<p>This is a foundational role where you will define how open-weight AI is operationalized at scale in the region.</p>\n<p>What You Will Do</p>\n<p><strong>Partner Technical Leadership &amp; Architecture Design</strong></p>\n<ul>\n<li>Lead the technical design, deployment, and enablement of Mistral’s partner solutions, bridging our AI models with partner infrastructure (Nvidia, Dell, Hyperscalers, GSIs) to deliver scalable AI Labs, AI Factories, and sovereign AI architectures.</li>\n</ul>\n<ul>\n<li>Serve as the trusted technical advisor to partner CTOs, CIOs, and engineering leaders—shaping joint architectures, guiding GPU/model deployment strategies, and accelerating GTM execution.</li>\n</ul>\n<ul>\n<li>Design reference architectures and deployment patterns for partner-led implementations (e.g., multi-GPU inference clusters, AI Lab topologies, private AI clouds).</li>\n</ul>\n<ul>\n<li>Innovate the Executive Briefing Center (EBC) function for technical leaders (CIOs, CTOs, CDOs), positioning Mistral as the default choice for enterprise AI.</li>\n</ul>\n<ul>\n<li>Co-design sovereign AI reference architectures with Nvidia and Dell (H100, H200, GB200 platforms).</li>\n</ul>\n<p><strong>Co-Sell &amp; Revenue Enablement</strong></p>\n<ul>\n<li>Collaborate with Mistral’s partner and sales teams to progress deals, providing technical expertise to penetrate accounts and influence GTM pipeline.</li>\n</ul>\n<ul>\n<li>Support partners in qualifying/disqualifying opportunities, ensuring Mistral solutions unlock maximum value for customers.</li>\n</ul>\n<ul>\n<li>Deploy Mistral’s enterprise AI suite (models, fine-tuning, use-case building) in partner-led environments, tailoring solutions to customer requirements.</li>\n</ul>\n<p><strong>Trusted Advisor &amp; Lighthouse Implementations</strong></p>\n<ul>\n<li>Drive strategic partner-led opportunities through technical discovery, architecture design, and POC execution.</li>\n</ul>\n<ul>\n<li>Lead lighthouse deployments that become referenceable case studies (e.g., Singtel AI Grid, Accenture AI Lab).</li>\n</ul>\n<ul>\n<li>Establish a scalable partner enablement framework, training 100+ partner engineers across ASEAN.</li>\n</ul>\n<p><strong>Product Feedback &amp; Internal Collaboration</strong></p>\n<ul>\n<li>Coordinate with Mistral’s product and engineering teams to relay partner-specific requirements and feedback.</li>\n</ul>\n<ul>\n<li>Align joint GTM and technical execution between Mistral Science, Partner Engineering, and partner field teams.</li>\n</ul>\n<p>About You</p>\n<p><strong>Must-Have</strong></p>\n<ul>\n<li>10–15 years’ experience in partner-facing technical sales or solution architecture (e.g., Partner SA, Alliance Architect, Partner Technology Strategist).</li>\n</ul>\n<ul>\n<li>Proven ability to engage C-suite and senior technical stakeholders (CTO, CIO, Chief Architect) in strategic architecture discussions.</li>\n</ul>\n<ul>\n<li>Deep GenAI/LLM expertise: RAG, fine-tuning, prompt engineering, model evaluation, and deployment patterns.</li>\n</ul>\n<ul>\n<li>Technical mastery of AI/ML infrastructure (GPU clusters, cloud platforms, model deployment frameworks).</li>\n</ul>\n<ul>\n<li>Track record of co-designing/deploying joint solutions with ecosystem partners (Nvidia, Dell, AWS, Accenture, etc.).</li>\n</ul>\n<ul>\n<li>Executive communication: Ability to articulate science-driven value propositions to technical and business audiences.</li>\n</ul>\n<ul>\n<li>Entrepreneurial mindset: Operates autonomously in high-growth environments; creates playbooks, not follows them.</li>\n</ul>\n<ul>\n<li>Fluent in English; confident working across diverse, cross-cultural teams in Asia.</li>\n</ul>\n<p><strong>Nice-to-Have</strong></p>\n<ul>\n<li>Experience with open-weight LLMs or open-source AI stacks (Mistral, Hugging Face, LangChain, vLLM, RAG frameworks).</li>\n</ul>\n<ul>\n<li>Prior involvement in AI Lab, AI Factory, or Sovereign Cloud deployments.</li>\n</ul>\n<ul>\n<li>Familiarity with data governance, model evaluation, and GPU sizing for large-scale inference.</li>\n</ul>\n<ul>\n<li>Network across GSIs and infrastructure partners in Asia</li>\n</ul>\n<ul>\n<li>Exposure to multi-region partner programs or joint GTM initiatives in APJ.</li>\n</ul>\n<ul>\n<li>Bonus languages: Korean, Japanese, or Mandarin for regional partner engagement.</li>\n</ul>\n<p>What we offer</p>\n<ul>\n<li>💰 Competitive cash salary and equity</li>\n</ul>\n<ul>\n<li>🚑 Health Insurance : Best in Class</li>\n</ul>\n<ul>\n<li>🥎 Sport : $90 for gym membership allowance</li>\n</ul>\n<ul>\n<li>🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n</ul>\n<ul>\n<li>🚴 Transportation : $120/month for public transport or Parking charges reimbursed</li>\n</ul>\n<ul>\n<li>🏝️ PTO: 18 per year</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_290c3d28-4b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers"},"x-apply-url":"https://jobs.lever.co/mistral/fe3542b5-4f99-4d62-af6a-fbdfd13bf0e4","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI/LLM expertise","RAG","fine-tuning","prompt engineering","model evaluation","deployment patterns","AI/ML infrastructure","GPU clusters","cloud platforms","model deployment frameworks","co-designing/deploying joint solutions","ecosystem partners","Nvidia","Dell","AWS","Accenture"],"x-skills-preferred":["open-weight LLMs","open-source AI stacks","Mistral","Hugging Face","LangChain","vLLM","RAG frameworks","data governance","model evaluation","GPU sizing","large-scale inference","GSIs","infrastructure partners","multi-region partner programs","joint GTM initiatives","APJ","Korean","Japanese","Mandarin"],"datePosted":"2026-03-10T11:27:47.209Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI/LLM expertise, RAG, fine-tuning, prompt engineering, model evaluation, deployment patterns, AI/ML infrastructure, GPU clusters, cloud platforms, model deployment frameworks, co-designing/deploying joint solutions, ecosystem partners, Nvidia, Dell, AWS, Accenture, open-weight LLMs, open-source AI stacks, Mistral, Hugging Face, LangChain, vLLM, RAG frameworks, data governance, model evaluation, GPU sizing, large-scale inference, GSIs, infrastructure partners, multi-region partner programs, joint GTM initiatives, APJ, Korean, Japanese, Mandarin"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e9248e4-225"},"title":"Senior Software Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Software Engineer at their Beijing office. This role sits at the forefront of AI-powered innovation, redefining the future of intelligent solutions, creating seamless connections across Windows, M365, and Azure.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Software Engineer (AI Engineer), you will be responsible for designing, optimizing, and implementing advanced prompt engineering strategies to enhance the performance, controllability, and application effectiveness of large language models (LLMs). You will work closely with cross-functional teams (product, AI/ML, and engineering) to drive prompt optimization across real-world business scenarios, ensuring efficient inference, high-quality responses, and seamless user experience.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design, develop, and implement robust and scalable software applications that utilize AI techniques.</li>\n<li>Develop and optimize LLM prompt engineering techniques (e.g., Chain of Thought, ReAct, Few-Shot Learning, Self-Consistency, Prompt Chaining) to enhance model coherence, reasoning, and controllability.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Hands-on experience working with LLMs such as ChatGPT, LLaMA, Claude, Mistral, and a deep understanding of prompt engineering techniques.</li>\n<li>Solid problem-solving skills in LLM inference optimization, token efficiency, and response tuning.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Solid communication and collaboration skills, with the ability to work across product, engineering, and F&amp;E teams.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.</li>\n<li>Microsoft is an equal opportunity employer. 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising haptic entertainment technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the cinema and simulation markets.</p>\n<p><strong>About the Role</strong></p>\n<p>We seek a Principal Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Building and owning production machine learning models to improve results.</li>\n<li>Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Benefits and other compensation</li>\n<li>Professional development opportunities</li>\n<li>Financial benefits (bonus, equity, pension, etc.)</li>\n<li>Cultural perks (team events, office amenities, etc.)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c5963b64-f4c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-3/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 – $274,800 per year","x-skills-required":["Machine Learning","Generative AI","Agentic Modeling","Data Science","Python","C#","R","C++","Java","SQL"],"x-skills-preferred":["Qwen","Llama","Mistral","GPT"],"datePosted":"2026-03-06T07:24:53.013Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Generative AI, Agentic Modeling, Data Science, Python, C#, R, C++, Java, SQL, Qwen, Llama, Mistral, GPT","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}}]}