Web Developer (MERN Stack)

KnowledgeCity

Pakistan

On-site

PKR 60,000 - 90,000

Full time

2 days ago
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Job summary

KnowledgeCity is hiring a Web Developer to build production MERN stack web applications and integrate Claude AI features. You will own features end to end—from data models and APIs to React UI, AI integration, testing, deployment, and monitoring.

You will use Claude Code and maintain code quality with rigorous testing and reviews. You will collaborate with AI, product, content, and design teams, design observability, and drive reliable, scalable solutions in production.

Qualifications

  • Experience building production MERN stack web apps.
  • Experience integrating Claude and AI tooling in product features.
  • Ability to design data models and REST APIs.
  • Familiarity with CI/CD, testing, and observability.

Responsibilities

  • Design, build, and maintain full-stack features using MERN stack.
  • Create REST APIs and data models; optimize queries.
  • Develop responsive React UI with clean state management.
  • Implement authentication, authorization, input validation, and secure data handling.
  • Write tests; participate in code reviews; maintain CI/CD pipelines.
  • Deploy and monitor services in production; ensure performance and reliability.
  • Integrate Claude API and agentic workflows; ensure proper gating and logging.
  • Collaborate with AI, product, content, and design teams; document systems and runbooks.

Skills

MERN stack
React
Node.js
MongoDB
REST APIs
CI/CD
Testing
AI tooling
Claude API

Tools

Express
Claude Code
MCP integrations
Slack/CRM databases

Job description

We are hiring a Web Developer who builds production web applications on the MERN stack (MongoDB, Express, React, Node.js) and is equally comfortable building with Claude. You will ship customer-facing and internal web products, and you will design and integrate the AI layer behind them: Claude API calls, tool-using agents, MCP integrations, and multi-step automated workflows with human-in-the-loop checkpoints where the stakes require them. This is a hands-on engineering role. You will own features end to end, from data model and API design through React UI, AI integration, testing, deployment, and monitoring. You are expected to use AI coding tools such as Claude Code as a normal part of your workflow, and to review and test what they produce with the same rigour you would apply to any code.

Web development (MERN)
  • Design, build, and maintain full-stack features using MongoDB, Express, React, and Node.js.
  • Design REST APIs and data models; write efficient MongoDB queries, indexes, and aggregationpipelines.
  • Build responsive, accessible React interfaces with clean state management and reusable components.
  • Implement authentication, authorization, input validation, and secure handling of secrets and user data.
  • Write unit, integration, and end-to-end tests; participate in code review; maintain CI/CD pipelines.
  • Deploy, monitor, and troubleshoot services in production; own performance and reliability of what youship.
Claude and agentic systems
  • Integrate the Claude API (Messages API) into product features: prompt design, streaming responses,structured outputs, tool use, and prompt caching to control cost and latency.
  • Build agentic workflows: tool-calling loops, orchestrator/sub-agent patterns, retries and fallbacks, andhuman-in-the-loop approval gates before high-impact actions such as bulk writes or outboundcommunications.
  • Build and consume MCP (Model Context Protocol) servers to connect Claude to internal systems andthird-party tools (for example CRM, HR, LMS, Slack, or databases).
  • Decide what belongs in deterministic code versus what belongs in the LLM step, and keep bulk orrepetitive operations in code rather than in the model loop.
  • Add observability to AI features: structured logging of inputs, outputs, latency, token usage, and errors;cost tracking; basic evaluation sets to catch regressions when prompts or models change.
  • Use Claude Code or comparable AI coding agents day to day to accelerate delivery, while keepingownership of correctness, security, and code quality.
Collaboration
  • Work with the AI, product, content, and design teams to turn requirements into shippable features.
  • Document systems, prompts, tool schemas, and operational runbooks so others can maintain them.
  • Contribute to engineering standards for AI-assisted development and agent safety.
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