AI Algorithm Engineer (LLM & RAG)

Job SummaryWe are seeking a highly skilled AI Algorithm Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to design, develop, and optimize intelligent systems. The ideal candidate will work on cutting-edge AI solutions, improving model performance, and building scalable applications for real-world use cases.Key ResponsibilitiesDesign, develop, and optimize LLM-based applications and RAG pipelinesBuild and maintain end-to-end AI systems, including data ingestion, embedding, retrieval, and generationFine-tune and evaluate large language models for domain-specific tasksImplement prompt engineering, chain-of-thought strategies, and agent workflowsDevelop vector search solutions using tools such as FAISS, Pinecone, or WeaviateOptimize system performance (latency, accuracy, cost efficiency)Collaborate with product managers, data engineers, and backend teams to deliver scalable solutionsConduct experiments, A/B testing, and model evaluation using relevant benchmarksEnsure AI systems comply with data privacy, security, and ethical standardsRequirementsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field3–6 years of experience in machine learning, NLP, or AI engineeringStrong experience with LLM frameworks (e.g., OpenAI API, Hugging Face, LangChain, LlamaIndex)Hands-on experience with RAG architecture and vector databasesProficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn)Experience with cloud platforms (AWS, GCP, or Azure)Solid understanding of NLP, embeddings, and information retrieval techniquesStrong problem-solving skills and ability to work in a fast-paced environment