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Senior Software Developer

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Hybrid

Senior Software Developer

Independent Recruitment Consultant (freelancer)

Senior Software Developer

Skills

Google Cloud PlatformSQL QueriesReactVueNodeTypescriptLaravelPHPPythonTesting & QAMicroservicesHTMLPostgreSQLMySQLAIAWSFullstack DevelopmentJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,600,000 – ₹2,000,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Hybrid

Published on:

7 August 2026

What they need


Role & responsibilities

  1. Full Stack Development
  • Design, develop, and maintain scalable, secure, and high-performance web applications using Laravel (PHP) as the primary backend framework.
  • Build modern, responsive, and intuitive user interfaces using React.js, Vue.js, TypeScript, JavaScript (ES6+), HTML5, and CSS3.
  • Develop backend services and microservices using PHP, Node.js, and Python where appropriate.
  • Design scalable application architecture following modern software design principles and best practices.
  • Optimize applications for speed, scalability, maintainability, and security.
  1. AI & Intelligent Applications
  • Build AI-enabled features using Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or similar AI platforms.
  • Integrate AI APIs into business applications for automation, intelligent search, summarization, document processing, and workflow enhancement.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings where applicable.
  • Develop prompt engineering strategies and AI workflows to improve response quality and business outcomes.
  • Work closely with product teams to identify opportunities for AI-driven automation and productivity improvements.
  1. API & Integration Development
  • Design, develop, and maintain RESTful APIs and backend services.
  • Integrate third-party APIs, payment gateways, authentication providers, cloud services, and enterprise applications.
  • Ensure secure API development with proper authentication, authorization, logging, and error handling.
  • Build scalable integrations between internal systems and external platforms.
  1. Database & Cloud
  • Design and optimize relational database schemas using MySQL and PostgreSQL.
  • Write optimized SQL queries and implement database indexing strategies.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Manage application deployments, CI/CD pipelines, and containerized environments where applicable.
  1. Technical Leadership
  • Participate in solution architecture discussions and technical decision-making.
  • Mentor junior developers through code reviews, technical guidance, and best engineering practices.
  • Drive coding standards, documentation, testing, and maintainable software development practices.
  • Collaborate with Product Managers, QA Engineers, Designers, and cross-functional stakeholders throughout the development lifecycle.
  • Contribute to sprint planning, effort estimation, and technical roadmap discussions.
  1. Performance & Quality
  • Ensure application reliability, performance, scalability, and security.
  • Troubleshoot production issues and implement preventive improvements.
  • Conduct code reviews, performance tuning, and application monitoring.
  • Write clean, reusable, well-documented, and testable code following industry best practices.

Preferred candidate profile

  • 78 years of experience in Full Stack Web Development.
  • Strong expertise in PHP and Laravel Framework.
  • Strong experience with React.js and/or Vue.js.
  • Excellent knowledge of JavaScript (ES6+), TypeScript, HTML5, CSS3.
  • Experience with Node.js and Python for backend development.
  • Strong experience designing and consuming RESTful APIs.
  • Expertise in MySQL and PostgreSQL database design and optimization.
  • Hands-on experience integrating AI models such as OpenAI GPT, Claude, Gemini, or similar LLMs into production applications.
  • Understanding of prompt engineering and AI workflow design.
  • Experience with AI APIs and model integration.
  • Familiarity with Retrieval-Augmented Generation (RAG), embeddings, and vector databases (such as Pinecone, ChromaDB, Weaviate, or FAISS) is highly preferred.

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