Forward Deployed Engineer
Anysphere, Inc. (doing business as Cursor)Visit Anysphere, Inc. (doing business as Cursor) website
Cursor is an AI coding-agent product operated by Anysphere, Inc.; it was acquired by SpaceX in August 2026 and continues to operate.
Distributed
Funding history
About Anysphere, Inc. (doing business as Cursor)
Cursor provides AI-assisted software-development tools, including desktop and CLI coding agents, autonomous cloud agents, code review, and enterprise offerings.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work directly with customer teams to discover high-value use cases and deliver production AI systems. You will build, integrate, test, monitor, and iterate on agents and coding workflows; measure outcomes; support customers after launch; and translate field learnings into reusable improvements.
Requirements
- Have 5+ years of experience in software engineering, machine learning engineering, or data science
- Write and review production code in Python or JavaScript/TypeScript
- Turn ambiguous problems into scoped and shipped systems
- Build and own AI-native production workflows or agents
- Debug production failures across models, tools, data, pipelines, or delivery paths
- Handle production reliability, metrics, alerts, rollouts, and incident response
- Build across frontend, backend, infrastructure, and prompt iteration
- Communicate with engineers and executives
Responsibilities
- Lead customer discovery and define success metrics
- Design and ship production agents and AI applications
- Deploy initial versions and harden them through monitoring and iteration
- Own production quality, tracing, evaluations, and debugging
- Build tools, MCP servers, retrieval systems, rules, skills, CI gates, and evaluations
- Integrate systems with customer authentication, data, workflows, and delivery systems
- Measure business and operational outcomes
- Communicate tradeoffs and results to technical and domain leaders
- Enable customer teams to operate delivered systems
- Turn field learnings into reusable patterns and product improvements