Find your next AI Engineering role
3+ open roles · 369+ companies hiring
3 open positions
Director | Engineering, ML
Machinify
Machinify is a leading healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. We are seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team. This role involves managing and growing a team responsible for building and operating the company's core AI/ML platform at massive scale. You will also act as a key thought partner to the Chief AI Officer, translating data science proof-of-concepts into scalable, production-grade services. The ideal candidate possesses a blend of AI/ML engineering expertise and applied data science fluency, understanding the intricacies of productizing AI/ML capabilities including serving, observability, reliability, and scale.
Manager, Software Engineering - DevEx AI Tools
Figma
Figma's AI Tools team is building AI-powered workflows, platforms, and tooling to enhance engineer productivity. This team owns systems that transform software development, including agentic CI auto-fixing, AI-assisted code review, and cloud agents that automate tasks like turning Slack messages into pull requests. The team operates across a three-layer platform stack: sandbox runtime, cloud agents, and workflow orchestration, while maintaining a growing portfolio of org-wide developer workflows.
$258k - $376k
Senior / Staff AI Engineer — Evals & Model Quality
FurtherAI
FurtherAI is building AI agents to revolutionize the insurance industry, a trillion-dollar market currently reliant on manual processes. We combine frontier agentic AI with deep domain expertise to transform critical industry operations. Having secured over $30 million in funding from top investors and experienced significant growth, we are a deeply technical company where engineers have a substantial impact on product direction. We are seeking an exceptional AI Engineer to lead our efforts in evaluating and continuously enhancing the quality of AI agents across our platform.
$300k - $350k
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.