AI Engineer / Applied AI Developer, IT

* Spearhead the development of cutting-edge AI systems, including NLP pipelines, semantic search, document intelligence, and recommendation engines, to drive business growth and innovation. * Architect and optimize Large Language Models (LLMs) to achieve optimal performance, security, and cost efficiency, leveraging top-tier providers like OpenAI and Gemini, as well as open-source alternatives. * Drive the design and implementation of Retrieval-Augmented Generation (RAG) systems, focusing on chunking strategies, embedding generation, and vector database management to enhance accuracy and reduce latency. * Develop and manage multi-source data ingestion pipelines, seamlessly integrating APIs, web scraping, databases, and document files to ensure high-quality, version-controlled data. * Design and build scalable, high-performance APIs that unlock AI capabilities for frontend applications, collaborating with developers to optimize integration and performance. * Champion data quality and efficiency, implementing robust update strategies and ensuring seamless data flow across the organization.