Job Description
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About the Role:
We are looking for a highly motivated intern to join our AI/GenAI team to explore and build solutions using state-of-the-art Large Language Models (LLMs) such as GPT, Claude, or LLaMA. You‘ll help prototype, test, and evaluate models for real-world applications including chatbots, document summarization, information retrieval, and agent-based automation.
Responsibilities:
- Work with foundational models (OpenAI, Mistral, Claude, LLaMA, etc.) and fine-tune or prompt-engineer for specific use cases.
- Build GenAI pipelines for tasks such as text generation, summarization, translation, question answering, or retrieval-augmented generation (RAG).
- Integrate APIs (e.g., OpenAI, Bedrock, LangChain, LlamaIndex) into proof-of-concept applications.
- Assist in the evaluation of model outputs for accuracy, bias, and performance.
- Contribute to documentation and knowledge sharing of findings and code.
Requirements:
- Pursuing a Bachelor‘s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
- Hands-on experience with Python and popular ML/NLP libraries (e.g., PyTorch, Transformers, HuggingFace, LangChain).
- Familiarity with LLM architectures, tokenization, embeddings, and prompt engineering.
- Good understanding of NLP fundamentals and ML concepts.
- Self-driven with strong problem-solving and communication skills.
- Good English
Bonus Points:
- Experience deploying GenAI applications with Streamlit, Gradio, or FastAPI.
- Knowledge of vector databases (e.g., FAISS, Pinecone, OpenSearch) and RAG pipelines.
- Participation in GenAI-related hackathons, open-source projects, or research papers.