We're looking for an engineer who builds intelligent systems end-to-end, where the backend thinks, the frontend adapts, and the layer between them is AI.
MyYogaTeacher powers 200K+ customers and thousands of live 1-on-1 yoga sessions daily. Real-time video, intelligent matching, global scheduling, and multi-currency payments all running on systems you'd own and evolve.
Responsibilities
- Design and ship full-stack features where AI powers both backend decisions and frontend experiences, owning the entire loop: UI prompt agent tools response UI.
- Backend APIs and architecture powering session orchestration, booking, matching, and payments built for scale and reliability.
- Agentic workflows: AI that plans, executes, validates, and recovers autonomously, with memory and context across sessions.
- AI-native frontend: copilot-style suggestions, guided workflows, and adaptive UI that responds to user context in real time.
- Human-in-the-loop systems users can review, correct, and guide AI decisions at every step.
- Design systems and component architecture for human + AI interaction built for uncertainty, confidence signals, and iteration.
- Frontend architecture: state management across UI and AI context, SSR/SSG, data-fetching, and API contracts.
- Build and iterate on UI screens via MCP ship interfaces faster without sacrificing quality.
- Evaluation and feedback loops measure correctness, decision quality, and latency, and close the loop continuously.
- Mentor engineers and raise the execution bar across the team.
Requirements
- 6+ years building production systems with strong depth in both frontend and backend.
- React, TypeScript, Next.js, scalable, accessible, performant UIs.
- Go (Golang) reliable, production-grade backend systems.
- Distributed architectures, SQL/NoSQL, cloud platforms.
- Daily use of AI coding tools: Claude Code, Cursor, Copilot, or Windsurf.
- Experience building AI-powered features, end-to-end agents, RAG pipelines, or adaptive interfaces.
- Strong intuition for where AI accelerates vs. where humans stay in control.
- Familiarity with MCP or similar AI integration frameworks.
- Experience with observability tooling (Sentry, Datadog) and testing frameworks (Jest, Cypress).
This job was posted by Kuldeep Kumar from MyYogaTeacher.
