We are looking for enthusiastic and self-driven fresh graduates who are passionate about Python and Generative AI. The ideal candidate should have a strong foundation in programming and a keen interest in learning and building AI-powered applications, including AI agents, chatbots, and GenAI solutions.
Must Have Skills
- Good programming skills in Python with understanding of OOP concepts, data structures, functions, and exception handling.
- Strong understanding of fundamental Computer Science concepts such as algorithms, databases, and software engineering principles.
- Basic exposure to Generative AI / Large Language Models (LLMs) through academic projects, internships, certifications, or self-learning.
- Familiarity with prompt engineering and effective interaction with LLMs.
- Basic understanding of REST APIs, JSON, and API integration concepts.
- Familiarity with Git/GitHub and collaborative development workflows.
- Basic knowledge of SQL and handling structured/unstructured data.
- Creating Agents in Github Copilot using skills and prompts.
- Strong analytical, problem-solving, and communication skills with a passion for continuous learning.
Good to Have Skills
- Exposure to GenAI orchestration frameworks such as LangChain, LangGraph, or similar frameworks.
- Basic understanding or hands-on experience with Retrieval-Augmented Generation (RAG) concepts and pipelines.
- Familiarity with Vector Databases such as FAISS, Chroma, Pinecone, Weaviate, or Milvus.
- Exposure to building AI Agents or Agentic AI applications, including tool calling and workflow orchestration.
- Understanding of Model Context Protocol (MCP) concepts and experience integrating or consuming MCP servers/tools.
- Experience creating and maintaining agent skill/configuration files, prompts, workflows, or reusable components for AI agents.
- Experience working on GitHub-based projects, including creating repositories, managing branches, raising pull requests, and collaborating on code.
- Exposure to frameworks/tools such as CrewAI, AutoGen, OpenAI Agents SDK, or similar agent frameworks through projects, hackathons, or self-learning.
Responsibilities
- Learn, develop, and maintain AI-powered applications and intelligent agents.
- Assist in building and enhancing chatbots, RAG pipelines, and Agentic AI solutions.
- Create, configure, and maintain agent skills, prompts, workflows, and reusable AI components.
- Integrate AI applications with external tools, APIs, and MCP-based services.
- Collaborate with senior engineers in designing, testing, and deploying GenAI solutions.
- Participate in code reviews, testing, debugging, and documentation activities.
- Contribute to GitHub repositories following engineering best practices.
- Continuously explore and learn emerging technologies in Generative AI and Agentic AI.
Experience: Fresh Graduates (0–1 year)
Education: Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related fields.
Preferred: Candidates with academic projects, internships, hackathon participation, open-source contributions, or personal projects in GenAI, AI Agents, RAG, or Agentic AI will be given preference.