Find your next AI Engineering role
2+ open roles · 22+ companies hiring
2 open positions
Strategic AI transformation lead (East)
Writer
WRITER is seeking a visionary and execution-oriented AI Transformation Lead to partner with strategic Fortune 100 accounts. This role goes beyond software implementation, focusing on helping large organizations fundamentally rethink their operations through AI. You will bridge business strategy and cutting-edge technology, translating the WRITER platform's capabilities into measurable P&L impact and guiding executives in adopting an AI-first operating model. This is a unique opportunity to shape the future of enterprise AI transformation, influencing product roadmaps and defining how global brands leverage AI to enhance human capacity.
$50k - $100k
Enterprise AI transformation lead (UK)
Writer
WRITER is seeking a visionary and execution-oriented AI Transformation Lead to partner with their most strategic Fortune 100 accounts. This role goes beyond software implementation, focusing on helping large organizations fundamentally rethink their operations through AI. You will bridge business strategy and cutting-edge technology, translating the WRITER platform's capabilities into measurable P&L impact and guiding executives in adopting an AI-first operating model. This is a unique opportunity to shape the future of enterprise AI transformation, influencing WRITER's product roadmap and defining how global brands leverage AI to enhance human capacity.
$50k - $100k
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.