Vector Databases Jobs

SpaceXAI is seeking exceptional storage & database engineers to join a new project focused on deeply integrating advanced AI infrastructure into a platform used by millions of users monthly. The team is building a new storage tier to power training, inference, recommendations, and real-time data extraction. This involves developing and operating an exabyte-scale S3-compatible object store, a multi-tenant transactional key/value store serving hundreds of millions of requests per second, a caching tier serving billions of requests per second, a scalable vector database for recommendation systems, and other specialized databases.

$180k - $440k

Replit

Replit is seeking an AI Agent Security Architect to serve as the primary technical authority for the security blueprint of Replit's autonomous and AI agents. This role involves designing, implementing, and maintaining runtime defense systems, guardrail frameworks, and sandboxing architectures for AI agents that execute code and interact with tools on the platform. The ideal candidate will lead high-impact AI security initiatives, bridging the gap between unpredictable AI behavior and robust cybersecurity controls for both technical and executive audiences.

Weaviate is seeking a Director of Product to own product strategy and decision-making for their AI-native vector database, cloud offering, and agent products. This role involves significant customer interaction to understand enterprise requirements and translate them into a product roadmap that engineering can execute. The Director will work closely with the CTO on vision and tech leads on feasibility, acting as a player-coach by managing a small product team while also owning specific product areas. The ideal candidate is comfortable engaging with enterprise customers, making data-driven prioritization decisions, and collaborating effectively with engineering teams, understanding the trade-offs involved in product development.

Scale AI

Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector worldwide. This role involves designing and developing the production lifecycle of full-stack AI applications, ensuring end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure for international government partners. The goal is to enable the public sector to transform operations and better serve citizens through cutting-edge technology, with the opportunity to be a founding member of the team.

Scale AI

Scale's Global Public Sector team is dedicated to leveraging AI to tackle significant challenges within the public sector worldwide. This involves creating custom AI applications impacting millions, generating high-quality training data for national LLMs, and providing AI upskilling and advisory services. As a Principal AI Ops Architect, you will be instrumental in designing and developing the production lifecycle for full-stack AI applications. Your role will encompass ensuring end-to-end system reliability, real-time inference observability, sovereign data orchestration, secure software integration, and the resilient cloud infrastructure necessary for international government partners. At Scale, we empower the public sector to transform operations and enhance citizen services through advanced technology, and we are looking for individuals ready to shape the future of AI in this domain.

Scale AI

Scale Generative AI Platform (Scale GP) is an enterprise-grade platform offering APIs for knowledge retrieval, inference, and evaluation. We are seeking a skilled engineer to contribute to building and scaling our product in a dynamic environment. The role involves owning significant product areas, collaborating across backend and frontend development, and integrating with LLMs and ML models. You will tackle complex engineering challenges related to scalability and reliability, working throughout the product lifecycle from concept to production.

$216k - $270k

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

$216k - $270k

Scale AI

Scale Generative AI Platform (Scale GP) is seeking a strong engineer to help build and scale an enterprise-grade Generative AI platform. This role involves owning significant new product areas, working across backend, frontend, and integrating with LLMs and ML models. You will tackle complex engineering challenges related to scalability and reliability in a fast-paced environment, delivering high-quality experiments to engage customers throughout the entire product lifecycle.

$252k - $315k

OpenAI

We are seeking engineers passionate about distributed systems, close-to-the-metal performance optimization, and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.

OpenAI

We are seeking a researcher focused on embedding retrieval efforts to join our Foundations Research team. This team works on high-risk, high-reward ideas that could shape the future of AI, focusing on advancing the science and data for frontier models. You will collaborate with world-class research scientists and engineers to develop foundational technology enabling models to retrieve and condition on the right information at the right time. This includes designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods. Your work will support retrieval across many OpenAI products and internal research efforts, with opportunities for scientific publication and deep technical impact.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their products among customers. This role involves working closely with clients from the pre-sale stage through post-implementation, ensuring their solutions meet and exceed expectations. The engineer will manage daily customer relations, act as a key resource for externalizing research in production settings, and collaborate with researchers, AI engineers, and product engineers on complex customer projects. The goal is to drive the successful deployment of Mistral AI products and contribute to technological transformation across various industries.