Weaviate currently has 3 active AI-related roles in our index. The most common open titles are: Applied Research Intern, Developer Advocate Intern, Product Engineer - Growth (Remote/GMT/CET). Most positions are in Engineering.
Weaviate's active AI hiring is concentrated in: application (33%), agents (33%), serving infrastructure (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Weaviate most frequently reference: vector db, rag, recommender systems, inference infra, model serving.
In the past 30 days, Weaviate has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Applied Research Intern Weaviate is seeking an Applied Research Intern to contribute to their AI-native vector database. The intern will work on projects related to vector indexes, graph algorithms, information retrieval, RAG, and end-to-end applications, including fine-tuning embedding models, developing recommendation systems, and optimizing model inference. The role involves low-level work on core database components and potential contributions to cloud-storage-based vector indexes. | ServeAgent | 7 |
| Product Engineer - Growth (Remote/GMT/CET) Product Engineer focused on growth for Weaviate Cloud, an AI-native vector database. The role involves building and iterating on PLG features, identifying and resolving user journey friction through data insights, and collaborating cross-functionally to improve the end-to-end user experience. The engineer will own the full loop of instrumenting, shipping, measuring, and iterating on product features. | Ship | 5 |
| Developer Advocate Intern Weaviate is seeking a Developer Advocate Intern to create social media content, technical visualizations, and example projects using their AI-native vector database. The role involves communicating complex AI concepts to a technical audience and supporting blog and video content creation. | Agent | 5 |