Assist in developing and testing Python-based AI modules.
Support the integration of LLM APIs into internal and client-facing applications.
Help build and organize data for vector databases and embedding pipelines.
Experiment with prompt engineering to improve AI response quality.
Contribute to the development of document chunking and preprocessing workflows.
Assist in monitoring AI system performance and identifying areas for improvement.
Participate in team meetings and contribute to brainstorming AI solutions.
Qualification & Experience
Final year students or recent graduates in CS/IT or related streams.
Currently pursuing or recently completed a degree in Computer Science, IT, or Engineering.
Academic projects involving Python, Data Science, or AI are highly preferred.
Strong foundational knowledge of Python programming.
Basic understanding of LLMs (OpenAI, Claude) and how they work.
Familiarity with Git for version control.
Strong interest in RAG architecture and Vector databases.
Analytical mindset with a proactive approach to problem-solving.
Excellent communication and willingness to learn new technologies quickly.