Intentwise Recruitment 2026

Intentwise

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6 days ago

Key Responsibilities

  • Build applications, scalable APIs, third-party integrations, autonomous AI agents, and data pipelines.
  • Effectively guide AI development tools throughout the entire software development lifecycle (SDLC).
  • Review AI-generated code rigorously for quality, performance, security, and maintainability.
  • Write unit, integration, regression, and end-to-end automated tests to ensure high software reliability.
  • Take full technical ownership of production code from conception to deployment.
  • Collaborate actively with product managers, domain experts, and engineering leads in code review sessions.

Skills & Eligibility

  • Education: Bachelor’s degree in Engineering (B.E / B.Tech) in Computer Science, Information Technology, Electronics, or related technical branches.
  • Experience: 0 to 2 years of software engineering experience. High-potential recent graduates with solid technical fundamentals are welcome to apply.
  • AI Tools Integration: Hands-on experience utilizing modern AI tools (such as Claude Code, Cursor, Codex, GitHub Copilot, or similar AI code assistants) to accelerate coding, testing, debugging, refactoring, and documentation.
  • Programming Languages: Practical experience in one or more core languages: Python, TypeScript, JavaScript, Java, C#, Go, or Kotlin.
  • Core Technical Foundations: Strong understanding of software design patterns, REST APIs, databases (SQL/NoSQL), Git version control workflows, and unit/integration testing principles.
  • Hackathon Exposure: Active participation in internal or external AI hackathons (candidates should be prepared to discuss the project, problem solved, and individual contribution).
  • Experience working with LLM APIs, Model Context Protocol (MCP), tool calling, and structured outputs.
  • Exposure to developing AI agents and automated data workflows.
  • Frontend or backend web development experience with React, Next.js, Node.js, or FastAPI.
  • Working knowledge of cloud platforms (AWS/GCP/Azure) and Docker containers.
  • Track record of building independent side projects or personal software products.
  • Education: Bachelor’s degree in Engineering (B.E / B.Tech) in Computer Science, Information Technology, Electronics, or related technical branches.
  • Experience: 0 to 2 years of software engineering experience. High-potential recent graduates with solid technical fundamentals are welcome to apply.
  • AI Tools Integration: Hands-on experience utilizing modern AI tools (such as Claude Code, Cursor, Codex, GitHub Copilot, or similar AI code assistants) to accelerate coding, testing, debugging, refactoring, and documentation.
  • Programming Languages: Practical experience in one or more core languages: Python, TypeScript, JavaScript, Java, C#, Go, or Kotlin.
  • Core Technical Foundations: Strong understanding of software design patterns, REST APIs, databases (SQL/NoSQL), Git version control workflows, and unit/integration testing principles.
  • Hackathon Exposure: Active participation in internal or external AI hackathons (candidates should be prepared to discuss the project, problem solved, and individual contribution).
  • Experience working with LLM APIs, Model Context Protocol (MCP), tool calling, and structured outputs.
  • Exposure to developing AI agents and automated data workflows.
  • Frontend or backend web development experience with React, Next.js, Node.js, or FastAPI.
  • Working knowledge of cloud platforms (AWS/GCP/Azure) and Docker containers.
  • Track record of building independent side projects or personal software products.
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