AI-Native Full-Stack Developer

Job highlights

• You turn a product requirement into an agent-ready spec,run the agents,verify what they produce,and own it in production
• Must have
• . React / Next.js and Node or Python back ends. Hands-on,daily experience with at least one agentic coding tool in a real codebase. Code review judgement: you can explain why an agents plausible-looking change is wrong

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This is a remote position.

Location: Remote across India; may transition to onsite in the future

**Experience: 2+ years building web applications end to end, with 6+ months shipping production features mainly through AI coding agents

**The role. You ship complete features across the CloudLabs core and modules (UI, API, database, tests, deployment) by directing AI coding agents. You turn a product requirement into an agent-ready spec, run the agents, verify what they produce, and own it in production. You dont write implementation code by hand; you are accountable for every line the agents write.

**What youll do

• Break product requirements into small, agent-ready specs with clear acceptance criteria and test cases.
• Drive AI coding agents (Claude Code, Codex, Cursor, Copilot agents) to implement features across (one or more tech stack, not all):
  • .NET / ASP.NET Core APIs and SQL Server stored procedures in the core; OR
  • Next.js/React front ends, TypeScript APIs and Python services in modules.
  • Run several agent sessions in parallel on separate branches or worktrees, and keep them from stepping on each other.
  • Review every agent diff before it merges: correctness, edge cases, security (auth checks, tenant isolation, input validation, secrets), performance and readability. Send it back with precise feedback until it is right.
  • Make agents prove their work: unit, integration and end-to-end tests (Playwright) that actually fail when the feature is broken.
  • Improve the agents context as you go: update AGENTS.md , skills and templates when an agent repeats a mistake.
  • Deploy through CI/CD to QA and production on Azure; watch logs and metrics after release; debug and fix production issues, again by directing agents.

  • Write short, clear PR descriptions, release notes and runbooks.

    Requirements

    **Must have
    - Solid full-stack fundamentals: HTTP, REST, relational data modelling and SQL, authentication, browser security, async programming, testing. - Working knowledge of **one or both of our tech stacks, enough to read and judge code fluently:
    - C# / ASP.NET Core and Angular (TypeScript, RxJS); - React / Next.js and Node or Python back ends. - Hands-on, daily experience with at least one agentic coding tool in a real codebase. - Code review judgement: you can explain why an agents plausible-looking change is wrong. - Git, pull requests, CI pipelines (GitHub Actions or Azure DevOps) and debugging with logs. - Comfortable working from written specs and writing them for others (human or agent).

    **Nice to have   
    - Azure experience: App Service, Container Apps, Key Vault, Front Door, Azure AD B2C/Entra.
    - PostgreSQL and row-level security; Drizzle or Entity Framework.
    - Built with LLM APIs (Azure OpenAI, Anthropic): tool calling, RAG, evaluations.
    - Wrote MCP servers, Claude Code skills/hooks/subagents, or similar agent tooling.
    - Infrastructure as code (Bicep, Terraform).
    - Interest in cloud labs, e-learning or developer education.   
    
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