Assist in developing and testing Generative AI applications using Large Language Models (LLMs).
Work with AI models and APIs such as OpenAI, Gemini, or open-source models.
Support prompt engineering, prompt optimization, and AI response evaluation.
Assist in building AI-powered chatbots, virtual assistants, and automation tools.
Work on Retrieval-Augmented Generation (RAG) applications.
Support document processing, text generation, summarization, and semantic search projects.
Assist in integrating LLM APIs with Python-based applications.
Work with frameworks such as LangChain, LlamaIndex, or Hugging Face.
Perform data preprocessing, cleaning, and preparation for AI applications.
Test and evaluate AI model responses for accuracy, relevance, and reliability.
Collaborate with AI/ML engineers and developers on ongoing projects.
Maintain technical documentation and project reports.




Stay updated with emerging trends and technologies in Generative AI.

Requirements
Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
Basic knowledge of Python programming.
Understanding of Machine Learning, Deep Learning, and NLP fundamentals.
Familiarity with Generative AI concepts and Large Language Models (LLMs).
Basic understanding of prompt engineering.
Knowledge of REST APIs and JSON.
Familiarity with Python libraries such as Pandas, NumPy, and Scikit-learn.
Basic knowledge of Git and GitHub.
Positive analytical, problem-solving, and communication skills.
Willingness to learn recent AI tools and technologies.

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