Software Engineer, Enterprise
Builds enterprise-grade features end-to-end for large organizations to adopt AI coding tools. Requires entrepreneurial spirit, passion for AI products blending engineering, models, and design, plus creative problem-solving.
About the job
Responsibilities
- Architect, implement, and deploy projects end-to-end.
- Build enterprise-grade features to help large organizations adopt and scale with Cursor.
Requirements
- Entrepreneurial spirit and love creating outsized business impact.
- Passion for being at the frontier of AI transformation with top companies.
- Passionate about building great products blending excellent engineering, models, and design.
- Propensity for creative ideas and knack for making powerful, easy-to-use tools.
Skills
AI, Software Engineering, Product Engineering, Architecting Systems, Deployment, Machine Learning Models
Similar jobs
Fullstack Engineering jobsSenior full-stack engineer responsible for taking ambiguous 0-to-1 product concepts from idea through prototype, validation, and launch. The role emphasizes strong frontend development, backend and systems architecture, product judgment, and cross-functional collaboration.
Software Engineer building end-to-end financial data platform features including ingestion, transformation, automation engines, reporting, monitoring, and AI-driven workflows. Requires CS degree and 4+ years software engineering experience; onsite in SF or NYC.
Product engineer building the modern AI-first platform for accounting and finance. Tackles foundational data automation, transformation, and reporting challenges in a complex domain. Requires 5+ years software engineering experience and a bachelor's in CS, Math or Philosophy.
Build scalable full-stack web applications across frontend and backend layers using React, TypeScript, Python, GraphQL, and FastAPI. The role requires at least three years of full-stack development experience and offers hybrid work in San Francisco.
Product Engineer responsible for building Bolter’s AI agent runtime, workspace, generated applications, and production reliability systems. The role requires strong full-stack TypeScript experience, product judgment, rapid prototyping ability, and depth in AI systems, real-time infrastructure, or developer tooling.