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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