Expert Large Language Model Developer
6 days ago
We are seeking an experienced and highly skilled AI engineer to develop, optimize and deploy large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
Key Responsibilities:
- Design, develop, and optimize AI solutions using LLMs and RAG frameworks.
- Implement and fine-tune models to improve response relevance and contextual accuracy.
- Develop pipelines for data retrieval, indexing, and augmentation to enhance knowledge grounding.
- Work with vector databases to enhance retrieval capabilities.
- Integrate AI models with enterprise applications and APIs.
- Optimize model inference for performance and scalability.
- Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
- Ensure ethical AI implementation, addressing bias, explainability, and data security.
- Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.
Requirements:
- 8+ years experience in software development according to development standards;
- Strong experience in training and deploying LLMs using Hugging Face Transformers or OpenAI API.
- Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.
- Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
- Solid understanding of NLP, deep learning, and transformer architectures.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows.
- Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments.
- Strong problem-solving and debugging skills.
- Excellent communication and teamwork abilities.
- Bachelor's or Master's degree in computer science, AI, Machine Learning, or a related field.
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