…retrieval (Graph RAG) Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems Fine-grained authorization (OpenFGA / Zanzibar-style) and policy engines…

…for low-latency retrieval and agent/session memory Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems Proficiency with Infrastructure as…

…Deep expertise in Apache Spark architecture, configuration, optimization, tuning, distributed systems, large-scale data processing, and performance engineering. Demonstrated success migrating enterprise analytics platforms…

…Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems. Familiarity with observability tools such as Datadog, Prometheus, or similar platforms. #LI…

…databases Bonus Points: Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification BS, MS or PhD in Computer Science or related engineering…

…platform’s architecture. • Develop and maintain backend infrastructure, focusing on data ingestion, storage, processing, indexing, and retrieval systems. • Implement data modeling and database design…

…Experience building search, retrieval, ranking, vector database, or enterprise knowledge systems. Experience with asynchronous communication patterns, message queues, pub/sub systems, data streaming platforms…

…scalable backend systems. - Experience with relational databases (e.g., PostgreSQL) and cloud platforms (e.g., AWS) to design and operate distributed systems. - Proven experience…

…existing data pipelines (data collection tools and databases, model training pipelines, integrations into the Dashlane web extension) Work with ML Engineers, Software Engineers, product…

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments…

…Experience building search, retrieval, ranking, vector database, or enterprise knowledge systems. Experience with asynchronous communication patterns, message queues, pub/sub systems, data streaming platforms…

…Deep familiarity with modern information retrieval architectures (such as vector databases, RAG, and LLM orchestration tools like LangChain or LlamaIndex) alongside CMS platforms, structured…

…quality of delivery — partnering with Product and Engineering to graduate them into first-class platform features. Partner closely with the data science team to…

…This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems. Analytical Database Platform: Engineers on this team contribute to…

…databases (e.g., Pinecone, Weaviate, FAISS, or Elasticsearch with vector search). Track record of building internal developer tools or platforms adopted by 100+ engineers…

…Platform Direction: Lead development and delivery of capabilities spanning large language models, vision-language models, image and video understanding/generation, speech/audio, embeddings, retrieval…

…Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it…

…systems using large language models. Experience with AI engineering concepts such as retrieval-augmented generation (RAG), tool calling, Model Context Protocol (MCP), vector databases…

…Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases. Experience with cloud platforms (AWS…

…Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases. Experience with cloud platforms (AWS…

…Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases. Experience with cloud platforms (AWS…

…WHAT GIVES YOU AN EDGE: - Engineering background in analytical databases, stream processing, or distributed storage systems. - Experience with real-time OLAP engines (e.g…

…MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and…

…data structures, algorithms, distributed systems, and databases, and experience building scalable, reliable ML services. Preferred qualifications, capabilities, and skills: Deep expertise in ranking/retrieval…

…Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages Experience streamlining multiple data pipelines into a centralized…