AI Engineer

As an AI Engineer, you will design, build, and optimize intelligent systems that leverage large language models (LLMs), vector databases, and advanced graph algorithms. This role will be instrumental in developing pipelines that extract, organize, and surface knowledge from diverse document sources. You will work at the intersection of data engineering, AI model optimization, and software architecture to deliver cutting-edge search, reasoning, and automation capabilities. Requirements Key qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. At least 4 years of professional experience as an AI Engineer or in a similar role. Strong proficiency in Python for data processing, API integration, and AI pipeline development. Hands-on experience with graph databases and vector databases Familiarity with graph algorithms for shortest paths, centrality, community detection, and semantic linking. Deep understanding of embeddings, vector search, and similarity measures (cosine similarity, dot product, etc.). Experience with prompt optimization and LLM fine-tuning Knowledge of LangChain or equivalent orchestration frameworks. Experience with information extraction from structured/unstructured documents. Strong technical writing skills for documenting APIs, architecture, and developer guides. Preferred Qualifications: Advanced degree in a related field. Experience with deep learning and neural networks. Knowledge of natural language processing and computer vision.