AI Algorithm Engineer (LLM & RAG)

Job Summary

We 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 Responsibilities

• Design, develop, and optimize LLM-based applications and RAG pipelines
• Build and maintain end-to-end AI systems, including data ingestion, embedding, retrieval, and generation
• Fine-tune and evaluate large language models for domain-specific tasks
• Implement prompt engineering, chain-of-thought strategies, and agent workflows
• Develop vector search solutions using tools such as FAISS, Pinecone, or Weaviate
• Optimize system performance (latency, accuracy, cost efficiency)
• Collaborate with product managers, data engineers, and backend teams to deliver scalable solutions
• Conduct experiments, A/B testing, and model evaluation using relevant benchmarks
• Ensure AI systems comply with data privacy, security, and ethical standards

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field
• 3–6 years of experience in machine learning, NLP, or AI engineering
• Strong experience with LLM frameworks (e.g., OpenAI API, Hugging Face, LangChain, LlamaIndex)
• Hands-on experience with RAG architecture and vector databases
• Proficiency 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 techniques
• Strong problem-solving skills and ability to work in a fast-paced environment