Description

•    2–3 years of software development experience, including candidates with strong academic, internship, personal, or open-source project experience. 
•    Strong programming fundamentals in Python, JavaScript/TypeScript, Node.js, or Golang. 
•    Basic hands-on experience with React, Next.js, REST APIs, Git, and GitHub. 
•    Hands-on familiarity with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, or Replit AI. 
•    Fundamental understanding of Generative AI, LLMs, Prompt Engineering, AI Agents, and RAG. 
•    Basic understanding of MCP (Model Context Protocol) and how AI agents can interact with tools, APIs, and external systems. 
•    Exposure to building AI/LLM-based applications, chatbots, workflows, or proof-of-concepts through academic, internship, personal, or open-source projects. 
•    Understanding of APIs, JSON, web services, and basic application architecture. 
•    Familiarity with Git-based development and software engineering practices. 
•    Strong analytical and problem-solving skills with the ability to learn new technologies quickly. 
•    Strong curiosity and enthusiasm for experimenting with emerging AI tools, frameworks, and developer productivity technologies.

Preferred / Good-to-Have Skills:

•    Exposure to LangChain, LangGraph, CrewAI, AutoGen, or similar AI/agent frameworks. 
•    Familiarity with vector databases, embeddings, semantic search, and RAG implementations. 
•    Basic exposure to Docker, Kubernetes, AWS, Azure, or GCP. 
•    Experience integrating AI applications with enterprise systems, databases, or third-party APIs. 
•    Experience with MCP servers, tool calling, function calling, or agentic workflows. 
•    Personal projects, GitHub contributions, hackathons, or academic projects involving GenAI, LLMs, or AI agents. 
•    Ability to use AI coding tools to rapidly convert ideas into functional prototypes or demos. 
•    Strong product mindset and ability to understand a problem and translate it into a working technical solution. 
•    Comfortable working in a fast-paced environment involving rapid experimentation, ambiguity, and continuous learning. 
•    Ability to balance rapid development with code quality, security, maintainability, and engineering best practices

Key Skills

Education

Bachelor’s degree