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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