AI Jobs

Full stack software engineer building and evolving the Codex desktop application and IDE extension, owning end-to-end flows from UI through Node/TypeScript backends to Rust service integrations. Key skills include TypeScript/Node/Electron development, IPC architecture design, process orchestration, and experience building resilient, observable systems.

This role leads the AI Deployment Engineering team to ensure safe and effective deployment of generative AI applications for strategic enterprise customers, managing the entire implementation journey from integration to production. Required skills include team leadership and mentoring, technical strategy development, customer success management, and deep understanding of GenAI deployment patterns and best practices.

This role focuses on building and deploying AI systems that enable code generation and autonomous collaboration for engineers, working on high-leverage 0→1 and 1→n initiatives across the Codex ecosystem. You'll need strong technical generalist skills, product thinking, the ability to prototype rapidly, and experience translating ambiguous problems into concrete technical solutions.

This role involves partnering with large Financial Services customers to ensure they achieve business value from OpenAI's models, serving as a technical bridge between pre-sales and implementation. Key responsibilities include delivering technical expertise, building demonstrations, scoping use cases, and recommending architectural patterns while working closely with sales, security, and product teams.

This role develops SLAM and multi-view geometry systems enabling robots to perceive, track, and reconstruct the 3D world from multi-camera and multimodal sensor data for real-time teleoperation and offline processing. The ideal candidate combines strong computer vision fundamentals with practical experience building robust perception systems, comfortable with both classical geometry approaches and modern machine learning methods.

Lead and mentor a team of deployment engineers delivering production-scale AI implementations for pharmaceutical, biotech, and healthcare organizations in regulated environments. Requires strong technical foundations in AI systems, people leadership experience, and deep expertise in healthcare compliance, privacy, and safety standards.

Build and maintain critical infrastructure for OpenAI's hyperscale supercomputers, ensuring reliability during large-scale frontier model training by owning system health checks and minimizing hardware-related disruptions. The role requires expertise in Python, shell scripting, data analysis tools, and deep system-level debugging to automate monitoring and fixes across thousands of machines.

This Research Engineer role involves building AI systems that enable scientific discovery by designing, implementing, and improving large-scale machine learning systems at the intersection of engineering and research. Key skills required include strong programming fundamentals, expertise in distributed systems, high-performance ML code writing, and the ability to work at massive computational scale.

This role involves building the best tool for professional programmers through a combination of inventive research, design, and engineering to automate coding. The ideal candidate is truth-seeking, passionate, creative, and skilled in shipping code while engaging in spirited technical debate.

Field Engineer serves as the technical face of Cursor in the field, partnering with enterprise customers to evaluate the product, guide proof-of-concept engagements, and demonstrate AI-powered coding capabilities. The role combines deep technical fluency with customer-facing communication to drive adoption, influence product direction, and act as a trusted advisor to technical stakeholders.

Build core agent behavior and capabilities powering agent experiences across Cursor products, including agent orchestration, tools, guardrails, and model behavior tuning. You'll have strong software engineering fundamentals, experience with agentic systems, and informed opinions on model behaviors and emerging AI research.

Build and enhance Bugbot, an AI-powered code reviewer that analyzes pull requests, catches bugs, and suggests improvements for engineering teams. You'll own full-stack development from model integration and backend architecture to UI and product reliability, directly shaping how millions of engineers interact with AI-assisted code review.

Lead and mentor a team of Technical Support Engineers at Cursor, engaging directly with users to solve complex technical challenges while leveraging insights to build internal automations and optimize support processes. Ideal candidates are former support engineers with proven leadership experience who are passionate about developer tools and thrive in fast-paced startup environments.

Lead and scale a high-impact pre-sales Field Engineering team supporting Cursor's fastest growing enterprise accounts, managing technical discovery, demos, and proofs of concept. Requires technical fluency, strong people management skills, and the ability to partner cross-functionally with Sales, Product, and Engineering teams.

This role involves working as a Solutions Engineer for ElevenLabs, a leading AI voice technology company, helping enterprise clients implement and optimize AI voice solutions. Key skills include strong technical foundation in software engineering, problem-solving abilities, customer communication, and experience with AI/ML technologies and API integrations.

This role involves building and maintaining full-stack features with a focus on backend systems for ElevenLabs' AI voice platform serving millions of users and enterprise clients. Required skills include backend development expertise, full-stack capabilities, and experience with scalable systems.

This role involves developing AI-enabled features and working with cross-functional teams to implement generative AI solutions. Required skills include Azure, Node.js, Git, Google Cloud Platform, and .NET, with a Bachelor's degree in Computer Science, Data Science, Mathematics, or related STEM field.

Lead the infrastructure engineering efforts for Scale AI's enterprise platform, architecting multi-cloud systems and deployment standards for Agentic workflows across GCP, Azure, and AWS. Design scalable, secure infrastructure solutions while mentoring teams and defining long-term technical strategy for knowledge retrieval and inference engines.

Build and optimize systems powering Scale AI's Generative AI Data Engine, which produces critical datasets for training and evaluating the world's most advanced LLMs and generative models. You'll work across teams focused on RLHF, human data generation, model evaluation, safety, and alignment to shape how humanity interacts with AI.

Build and deploy end-to-end AI applications for public sector clients, leveraging the latest AI developments to address critical challenges facing governments worldwide. Requires expertise in AI model deployment, custom dataset creation, fine-tuning, and cross-functional collaboration with data specialists to deliver production-ready solutions.