Currently tracking 15 active AI roles, up 30% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Cursor is actively hiring for 21 AI-related roles, with a significant focus on the "agents" stage, representing 52% of their open positions. The majority of these roles are within the Engineering function, and all current hiring is concentrated in the United States. Their technical needs are reflected in frequent tags such as agent_orchestration, llm_observability, and evals.
Cursor currently has 25 active AI-related roles in our index. The most common open titles are: Data Scientist, Performance and Reliability, Engineering Manager, Core Services, Engineering Manager, Evals, Engineering Manager, Model Routing & Inference, Forward Deployed Engineer. Most positions are in Engineering and Product.
Cursor's active AI hiring is concentrated in: agents (44%), application (20%), evaluation (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cursor is hiring AI talent in: United States (21 roles), United Kingdom (2 roles), Singapore (1 role).
Job postings at Cursor most frequently reference: agent orchestration, evals, llm observability, model serving, code gen.
In the past 30 days, Cursor has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, ML Research Research Engineer at Cursor focused on building the training, inference, and data systems for frontier coding models, including scaling RL on user data and creating infrastructure for large-scale data jobs. | DataPost-train | 9 |
| Software Engineer, Agent Harness Software Engineer on the Agent Harness team at Cursor, responsible for building core agent behavior and capabilities, including agent orchestration, tools, guardrails, and model behavior tuning. The role also involves defining the default Cursor agent experience and launching new models. | Agent |
| 9 |
| Engineering Manager, Evals Engineering Manager for the Evals team at Cursor, responsible for creating high-signal evaluation datasets for coding agents, building tools for engineers to write and run evals, and owning online evaluation systems that track agent quality in production. The role involves setting the eval roadmap, leading a team of engineers and researchers, guiding the development of evaluation benchmarks like CursorBench, defining online quality signals, and integrating evals into decision-making processes for launches, deploys, and model training. | Eval Gate | 8 |
| Software Engineer, Agent Evaluation and Quality Software Engineer on the Agent Quality team at Cursor, responsible for building the measurement, evaluation, and feedback-loop infrastructure to improve the Cursor core agent. This role involves designing and building AI evaluation systems, feedback loops from user usage, analysis tooling for agent behavior, and improving reliability and guardrails by making quality measurable. | Eval GateAgent | 8 |
| Engineering Manager, Model Routing & Inference Engineering Manager to lead the Model Routing & Inference team, owning the inference platform that powers all AI interactions in the product. Responsibilities include setting technical direction for cluster management, inference optimization, and traffic egress, managing GPU utilization, capacity planning, and designing routing mechanisms. The role involves leading a team, hiring, and coaching engineers. | ServeAgent | 8 |
| Forward Deployed Engineer Role focuses on embedding with customer engineering teams to build and ship production-grade AI-powered workflows using Cursor. This involves identifying bottlenecks, designing solutions, and owning the end-to-end lifecycle including reliability, monitoring, and iteration. The role requires strong engineering skills and experience with AI-native applications in production. | AgentServe | 8 |
| Software Engineer, Bugbot Software Engineer to work on Bugbot, an AI code reviewer that automates coding by reviewing pull requests, catching bugs, and suggesting improvements. The role involves end-to-end feature shipping, evolving the review pipeline, building integrations, owning product quality and reliability, and designing onboarding flows. It requires moving fluidly between the model layer and the product layer, with a focus on shipping genuinely useful AI-assisted code review. | Agent | 8 |
| Software Engineer, ML Infrastructure Software Engineer focused on building and scaling ML infrastructure, including compute, storage, and software systems to support large-scale training of agentic coding models. The role involves collaborating with researchers, managing GPU infrastructure, and improving training framework performance and reliability. | DataPost-train | 8 |
| Software Engineer, Model Routing & Inference Software Engineer on the Model Routing & Inference team responsible for building and evolving the inference platform that powers all AI interactions in the product, focusing on speed, reliability, and cost-effectiveness at scale. | Serve | 7 |
| Software Engineer, Generalist Cursor is building a tool to automate coding, starting with a product for professional programmers. This role involves inventive research, design, and engineering within a flat, talent-dense organization. | Agent | 7 |