Vespa.ai is seeking an Applied AI Engineer to be our expert on the AI landscape for the Vespa open-source AI search platform. Vespa is a fully featured search engine and vector database that supports vector search (ANN), lexical search, and structured data search in a single query, with integrated machine-learning model inference to enable real-time AI applications. This is not a research or model-training role. You will evaluate new models and techniques, integrate relevant ones with Vespa, build reference applications and demonstrations, and drive improvements to the platform. You will work primarily with the Vespa engineering team, and with customers and users where it helps you understand what people are trying to build. The position is based in Trondheim on-site most of the time, with flexibility to work from home/remotely when needed, as agreed with your manager. Responsibilities include tracking developments in embedding models, rerankers, LLMs, retrieval techniques and AI frameworks, designing and building integrations between Vespa and current models and frameworks (ONNX, Hugging Face, LLM APIs, agent frameworks). You will build and maintain reference applications, benchmarks and demonstrations showing how to solve AI-driven problems with Vespa; propose and prototype improvements to Vespa for AI workloads; and work with users and customers to understand how they combine Vespa and AI. Contributions to technical content such as sample apps, blog posts, and documentation are encouraged. Qualifications include 3+ years of professional software development experience; s

Vespa.ai is seeking an Applied AI Engineer to be our expert on the AI landscape for the Vespa open-source AI search platform. Vespa is a fully featured search engine and vector database that supports vector search (ANN), lexical search, and structured data search in a single query, with integrated machine-learning model inference to enable real-time AI applications. This is not a research or model-training role. You will evaluate new models and techniques, integrate relevant ones with Vespa, build reference applications and demonstrations, and drive improvements to the platform. You will work primarily with the Vespa engineering team, and with customers and users where it helps you understand what people are trying to build. The position is based in Trondheim on-site most of the time, with flexibility to work from home/remotely when needed, as agreed with your manager. Responsibilities include tracking developments in embedding models, rerankers, LLMs, retrieval techniques and AI frameworks, designing and building integrations between Vespa and current models and frameworks (ONNX, Hugging Face, LLM APIs, agent frameworks). You will build and maintain reference applications, benchmarks and demonstrations showing how to solve AI-driven problems with Vespa; propose and prototype improvements to Vespa for AI workloads; and work with users and customers to understand how they combine Vespa and AI. Contributions to technical content such as sample apps, blog posts, and documentation are encouraged. Qualifications include 3+ years of professional software development experience; s