Find your next AI Engineering role
5+ open roles · 71+ companies hiring
5 open positions
Manager, Customer Success - Commercial
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As the Manager, Customer Success – Commercial, you will lead a team of Customer Success Managers focused on high-growth mid-market technology companies, financial services, healthcare, legal, and SMB organizations. Your role involves directly coaching and developing your team, creating scalable support strategies, and maintaining oversight of key customer engagements. This position requires strong leadership, deep product knowledge, and customer success expertise to guide your team in maximizing customer value, driving consumption, and expanding our presence within commercial accounts. You will play a crucial part in establishing scalable CS processes, methodologies, and playbooks that will shape the organization's growth and maturity.
$10k - $100k
AI Deployment Strategist
Mistral AI
Mistral AI is a pioneering company dedicated to democratizing AI through high-performance, open-source models and cutting-edge products. We aim to simplify tasks, save time, and enhance learning and creativity by integrating AI seamlessly into daily working life. Our comprehensive AI platform caters to enterprise needs, whether on-premises or in cloud environments, and includes offerings like le Chat, our AI assistant. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society, operating across France, USA, UK, Germany, and Singapore. We seek adaptable team players who thrive in fast-paced environments and are ready to contribute to our shared goals.
AI Strategy Consultant, Frontier Tech
Scale AI
As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.
Partner Solution Architect - EMEA
Mistral AI
Mistral AI is a pioneering company dedicated to democratizing AI through high-performance, optimized, open-source models and cutting-edge products. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments, offering solutions like 'le Chat' for enhanced productivity. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society, with a global presence 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 - 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.
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.