Context AI is building the future of enterprise AI—systems that don't just answer questions or automate simple tasks, but execute the complex, judgment-heavy work that drives real business outcomes for Fortune 100 customers
Requirements
- Strong engineering background, preferred in fields such as Computer Science, Software Engineering, Mathematics, Physics, or related technical disciplines
- 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
- Intellectual curiosity about AI/ML systems and their application to real-world problems
- 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
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
- Agency: Innovation happens when team members think from first principles and go above and beyond to achieve objectives—not by simply completing tasks
- Low Ego: We understand that the outcome matters more than who gets the credit. Team members share wins and don't play politics
- Adaptive and Introspective: We operate in a fast-moving environment and accordingly iterate rapidly; team members must be able to learn from their mistakes and improve constantly
