LLM Engineer
2 days ago
About The Role
We are looking for a passionate LLM Engineer Intern to join our team
This is an exciting opportunity to work on state-of-the-art Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI applications
You will gain hands-on experience in fine-tuning, deploying, and optimizing LLMs to enhance real-world applications
- Key Responsibilities
Assist in training, fine-tuning, and evaluating LLMs for various tasks
- Develop and optimize RAG-based architectures for information retrieval
- Implement and test different prompt engineering techniques to improve model responses
- Integrate LLMs into existing systems and APIs using FastAPI, Docker, and other relevant tools
- Work on performance tuning, latency reduction, and efficiency improvements of LLM applications
- Collaborate with senior engineers and researchers to experiment with new LLM techniques
- Contribute to the documentation and development of AI-driven features
- Required Qualifications
Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field
- Strong programming skills in Python and familiarity with ML frameworks like PyTorch or TensorFlow
- Understanding of Transformer-based models (e.g., GPT, BERT, T5, Llama, etc.)
- Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) and their role in RAG applications
- Experience with APIs, Docker, and cloud platforms (AWS/GCP/Azure) is a plus
- Familiarity with NLP tasks such as text classification, summarization, and named entity recognition (NER)
- Strong problem-solving skills and a keen interest in the latest LLM advancements
- Experience2-3 Years
SalaryAs per Norms
Interested can apply or contact to Nanda Kishore
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