Find your next AI Engineering role
4+ open roles · 364+ companies hiring
4 open positions
Talent Engineer
Gong
Gong is seeking an engineer to build the foundational systems for its Talent Acquisition team. This role is a 0-to-1 build, focused on creating automations, integrations, and AI-powered workflows to connect disparate systems like HRIS, ATS, and interview intelligence tools. The goal is to provide recruiters and hiring managers with a unified view of candidate and employee data, enabling faster, data-driven decisions without manual intervention. You will be responsible for shipping functional systems that improve efficiency and provide actionable insights, rather than focusing on traditional recruiting tasks.
$111k - $175k
Agent Evaluation and Self-Improvement Engineer
nvidia
This role focuses on establishing and implementing a comprehensive evaluation strategy for autonomous agents at NVIDIA. The goal is to ensure that changes to agents, their underlying models, harnesses, tools, and skills lead to improvements rather than regressions. You will design systems that allow agents to leverage evaluation results for self-improvement, building trust in the process of autonomous evolution. This involves creating robust evaluation frameworks, mining production data for insights, and developing realistic simulation environments for safe, end-to-end agent task execution.
$224k - $431k
Staff Software Engineer, Dashboard Product
Stripe
Stripe is a financial infrastructure platform for businesses, aiming to increase the GDP of the internet. The Dashboard Product team is dedicated to creating world-class user experiences for Stripe merchants through meticulous attention to detail and craft. This team focuses on perfecting Stripe's main merchant interface, the Dashboard, by ensuring intuitive, reliable software and distilling front-line insights into shared components. They are also exploring how AI agents can unlock new creative possibilities for merchant interactions.
Staff Software Engineer, GTM AI Engineering
Anthropic
As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that power Anthropic's go-to-market operations. You will advance existing agent capabilities to autonomously manage complete motions across sales areas like inbound, outbound, and pipeline management. Additionally, you will develop evaluation frameworks to ensure these agents are ready for customer-facing tasks and deliver tangible value. This senior role involves driving the technical direction for agents and evaluations within the team, owning projects from initial prototyping to production deployment, and collaborating with sellers, RevOps, and platform engineering partners. You will integrate full-stack engineering, including MCP servers and agentic systems, with hands-on evaluation work and contribute to architecting shared platforms for the go-to-market organization.
$320k - $405k
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.