This article outlines the GenAI Intern role at Softcolon Technologies Pvt. Ltd., covering core responsibilities, the technical focus, collaboration and documentation expectations, and the application requirements. It organizes the provided hiring information so candidates can quickly understand the tasks, tools, and the specific materials requested for submission.
Role and core responsibilities
The GenAI Intern will assist the team in building GenAI-based applications and supporting related engineering tasks. Key responsibilities include:
- Assist in developing GenAI-based applications using Python.
- Support implementation of the RAG pipeline (embedding + search + response).
- Work on API integrations with OpenAI, Claude, and Gemini.
- Assist in building backend services using FastAPI.
- Maintain project documentation and update GitHub regularly.
- Collaborate with team members on assigned tasks and provide daily progress updates.
Technical focus and tools
The position emphasizes practical use of Python and related web frameworks alongside API work. Relevant technical points are:
- Basic knowledge of Python is required.
- Familiarity with Python frameworks such as FastAPI and basic Django is expected.
- Experience working with APIs and JSON is part of the technical scope.
- Implementation work will include components of a RAG pipeline—embedding, search, and response.
Collaboration, documentation, and code management
Documentation and teamwork are part of the role’s daily workflow. The intern will:
- Maintain project documentation to reflect progress and implementation details.
- Keep GitHub updated with code and project artifacts.
- Collaborate closely with team members and share daily progress updates.
Application requirements and submission materials
Candidates should prepare and submit the following materials as part of their application:
- Resume.
- GitHub profile or project portfolio.
- Links to any AI or Python projects.
In summary, Softcolon Technologies Pvt. Ltd. is hiring a GenAI Intern to assist with Python-based GenAI development, RAG pipeline implementation, API integrations (OpenAI/Claude/Gemini), FastAPI backend work, documentation, and daily team collaboration. Applicants should have basic Python and framework knowledge, familiarity with APIs/JSON, and submit a resume plus GitHub and project links.
