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This position was posted on April 28, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
Tel Aviv
Job Type
Full-time
Category
Backend Engineer
Date Posted
April 28, 2026
Full Job Description
đź“‹ Description
- • Senior/Staff Software Engineer responsible for designing and building core components of Pinecone's next-generation knowledge retrieval system, powering high-quality, scalable, and enterprise-grade agentic systems through advanced search and retrieval infrastructure.
- • Day-to-day work includes designing scalable platform components for semantic and hybrid search, building optimized indexing pipelines for structured and unstructured data, developing backend services for retrieval orchestration and knowledge graph construction, improving retrieval quality via evaluation and observability frameworks, designing APIs for internal and external users, optimizing latency and throughput across large-scale workloads, and driving technical direction for reliability and security.
- • Pinecone is the leading vector database enabling accurate and performant AI applications at scale, serving over 9,000 customers across industries with $138M in funding from top-tier investors like Andreessen Horowitz and ICONIQ, headquartered in New York with a growing engineering team in Tel Aviv.
- • The role offers significant ownership in architecture, performance, and system reliability, providing the opportunity to shape the future of AI infrastructure, work on cutting-edge retrieval-augmented generation (RAG) systems, and build systems that connect knowledge to LLM-powered applications at scale.
Skills & Technologies
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About Pinecone Systems Inc.
Pinecone provides a managed, cloud-native vector database that lets engineers build and scale machine-learning applications such as semantic search, recommendation systems, and retrieval-augmented generation. The platform automates indexing, sharding, and updates while offering low-latency approximate-nearest-neighbor queries at billions of vectors. It supports hybrid dense-sparse retrieval, metadata filtering, and real-time inserts and deletes. Available on AWS, GCP, and Azure, Pinecone handles infrastructure, security, and scaling so teams can focus on model development rather than operations.
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