Context AI is building the future of enterprise AI, aiming to solve the constraint of institutional intelligence blocking AI from creating true enterprise value. The platform automatically learns an organization's unique context to enable AI agents to perform complex, judgment-heavy work that drives real business outcomes, leading to significant productivity improvements and cycle time reductions for Fortune 100 customers.
Requirements
- Strong full-stack coding skills with proficiency in TypeScript/JavaScript and React; Python experience or willingness to learn
- Experience building production systems—APIs, data pipelines, web applications, real-time UX, or complex frontend architectures
- Track record of shipping features that users love—demonstrated attention to UX, performance, and polish
- Fluent in TypeScript/React; comfortable jumping into Python services when needed (or eager to learn)
- Experience with cloud infrastructure (AWS, GCP, Azure) and modern DevOps practices
- Familiarity with LLM fine-tuning, retrieval, or agentic chains
- Experience building collaborative editors (CRDT, OT, multiplayer systems)
Responsibilities
- Architecting and building end-to-end product features that feel magical yet familiar—rich editors, interactive dashboards, multi-modal canvases where AI executes complex work
- Designing Autopilot UX—orchestrating agent plans and live previews so users can see AI think, execute, and iterate in real time with sub-100ms interactions
- Building the integrations layer—seamless connections to Google Workspace, Microsoft 365, Notion, Slack, Linear, and 300+ other tools that ground AI in institutional intelligence
- Engineering the design system & component library—performant, accessible React/Tailwind components that scale from mobile to 4k monitors
- Building the learning flywheel infrastructure—systems that capture subject matter expert feedback and continuously improve AI agent capabilities
- Collaborating on architecture decisions with Product, Design, and Engineering teams to turn customer insights into cross-customer platform capabilities
- Owning full-stack features from database schema to API design to pixel-perfect frontend, ensuring production quality at every layer
Other
- Relevant experience in software engineering building production web applications
- Strong engineering background, preferred in fields such as Computer Science, Software Engineering, Mathematics, Physics, or related technical disciplines
- Intellectual curiosity about AI/ML systems and their application to real-world problems
- You've shipped polished, user-loved web apps at scale—front-end to back-end and everything between
- You see AI as a design material and are excited to invent new UX paradigms around it
