
Senior Large Language Model Engineer
1 day ago
We are seeking a highly skilled Advanced AI Solutions Developer to design, develop, and deploy innovative large language model (LLM) based applications. The ideal candidate will have expertise in Retrieval-Augmented Generation (RAG) pipelines and Generative AI (GenAI) solutions for text generation, summarization, code generation, and other NLP tasks.
The successful candidate will be responsible for developing and optimizing machine learning models using classical and deep learning techniques. This includes building and integrating retrieval systems using vector databases such as FAISS, ChromaDB, Pinecone, or Weaviate. Additionally, the developer will optimize and fine-tune LLMs for domain-specific use cases, develop data pipelines for training, validation, and inference, and work on scalable AI solutions ensuring performance and cost efficiency in deployment.
Collaboration with cross-functional teams is essential to integrate AI models into production applications. The ideal candidate will have a strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers, hands-on experience with LLMs, GenAI, and RAG architectures, and knowledge of ML algorithms, deep learning architectures, and NLP techniques.
- Key Requirements:
- 3+ years of experience in AI/ML development.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Required Skills & Qualifications:
- Experience working with vector databases.
- Familiarity with cloud platforms and AI/ML model deployment.
- Experience with LangChain or LlamaIndex is a plus.
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