Find your next AI Engineering role
85+ open roles · 22+ companies hiring
85 open positions
AI Deployment Strategist - Netherlands
Mistral AI
Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of its AI solutions. This role involves working closely with customers from strategic vision to production implementation, bridging the gap between business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success and transformative outcomes. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore
Mistral AI
Mistral AI is seeking an Applied AI Engineer to drive the adoption of its products among customers and collaborate with them to address complex technical challenges. This role is integral to the Applied AI Engineering team, focusing on the successful deployment of Mistral AI products and building complex enterprise use-cases. You will work hand-in-hand with customers from pre-sale to post-implementation, ensuring solutions meet and exceed client expectations. You will manage customer relations involving multiple stakeholders and serve as a key resource in externalizing our research in production settings.
Applied AI Engineer, Senior/Staff Devops/SRE
Mistral AI
Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt its products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Applied AI Engineers at Mistral AI work in small teams, owning end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding custom applications, engaging with customer executives, and strategizing for the Applied Engineering team.
AI Deployment Strategist - Singapore
Mistral AI
Mistral AI is a company dedicated to democratizing AI through high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments, including our AI assistant, le Chat. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society, with teams distributed across France, USA, UK, Germany, and Singapore. We seek creative, low-ego, and team-spirited individuals to join us in shaping the future of AI and making a meaningful impact.
AI Deployment Strategist - Munich, Germany
Mistral AI
Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of our AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This role is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.