Find your next AI Engineering role
3+ open roles · 364+ companies hiring
3 open positions
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
Engineering Manager, Agent Oversight
Scale AI
As Engineering Manager for Agent Oversight, you will lead the team responsible for building Scale's platform for monitoring, evaluating, and improving agentic applications for enterprise and government clients. This role involves owning the platform's roadmap, encompassing deployment, monitoring, evaluation, ML-driven improvement, and continuous learning to ensure agents enhance over time. You will manage the engineering team, drive technical delivery, and collaborate with customers and internal partners to bring these critical capabilities to production, aiming to set the industry standard for agentic application oversight. The platform currently supports agent deployments for multiple clients, and this US-based role will play a key part in defining and scaling the team.
$248k - $311k
Success Architect - Agentforce (U.S. Citizen)
Salesforce
Salesforce is seeking an Agentforce Success Architect to drive successful outcomes for strategic customers by leveraging expertise in AI-driven agent design, orchestration, and automation. This role involves acting as a trusted subject-matter expert on the Agentforce platform, which enables the building and deployment of autonomous AI agents across sales, service, and marketing. The architect will engage with customers to evaluate and recommend optimization strategies for technical architecture, performance, and solution design, while also identifying capability gaps and proposing creative solutions. A key aspect of the role is facilitating executive stakeholder alignment between technology strategy and business value, and contributing to thought leadership through mentoring and knowledge sharing.
$123k - $186k
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.