Find your next AI Engineering role
2+ open roles · 364+ companies hiring
2 open positions
Staff Kernel Security Engineer
crusoe
Crusoe is seeking a Staff Software Engineer specializing in Linux Kernel Security to strengthen the security of their AI cloud infrastructure. This role involves implementing kernel security enhancements, triaging CVEs, securing the boot path, and establishing CI guardrails. You will research vulnerabilities, advocate for secure coding practices, and conduct security-focused code reviews. The position also includes utilizing and developing security auditing tools, supporting incident response, and balancing security with system performance. A key aspect is contributing to the security of Cloud Hypervisor and advancing confidential computing primitives. This role requires close collaboration with other engineering teams and providing technical leadership and mentorship.
$215k - $260k
Software Engineer, Full Stack
Convex
Convex is seeking talented engineers passionate about building powerful, reliable, and enjoyable product experiences for developers. You will contribute to the design and development of our platform's surface area, including the dashboard, insights, and integrations. This role requires applying product sensibilities to "why" and "what" we build, not just "how," and involves working directly with customers to understand their needs. If you have strong design taste, care about quality, and enjoy crafting intuitive interfaces, you'll be a great fit.
From $180k
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.