Find your next AI Engineering role
4+ open roles · 22+ companies hiring
4 open positions
Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio
Stability AI
Stability AI is seeking a Senior Product Engineer to lead the ground-up development of PLG growth and lifecycle infrastructure for their music and audio products. This greenfield role spans web, desktop, plugin, and mobile platforms, requiring you to select the technology stack, design the event model, implement integrations, and manage the system. The ultimate goal is to create a measurable and attributable funnel from anonymous users to paying customers and account expansion. This position is at the nexus of growth marketing, product lifecycle management, and community-driven PLG, focusing on systems that drive conversion within the product.
Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio
Stability AI
Stability AI is seeking a Senior Product Engineer to lead the ground-up development of PLG growth and lifecycle infrastructure for their music and audio products. This greenfield role spans web, desktop, plugin, and mobile platforms, requiring you to select the technology stack, design the event model, implement integrations, and manage the system. The ultimate goal is to create a measurable and attributable funnel from anonymous users to paying customers and account expansion. This position is at the nexus of growth marketing, product lifecycle management, and community-driven PLG, focusing on systems that drive conversion within the product.
Product Monetisation & Pricing Lead
Mistral AI
Mistral AI is a company dedicated to democratizing AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments, including our AI assistant, Vibe. We are a dynamic, collaborative, and passionate team committed to driving innovation and transforming society with AI. We are looking for a Product Monetisation & Pricing Lead to shape and execute pricing strategies for our product suite, working across Product, Engineering, Sales, and Finance to align pricing with customer value and support both product-led growth and enterprise deals. This role reports to the Head of Product Operations and is based in Paris with hybrid flexibility.
AI Engineer, Product
Mistral AI
Mistral AI is democratizing AI through high-performance, optimized, open-source models and products. We are a dynamic, collaborative team passionate about AI's potential to transform society, with teams distributed globally. We are seeking an AI Engineer to join a product team, focusing on improving AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You will own your domain's AI quality end-to-end, defining, measuring, and shipping improvements in collaboration with our Science team.
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.