Senior Software Engineer, Knowledge Engine Job at Pinecone

Senior Software Engineer, Knowledge Engine

Pinecone

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are hiring a senior software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – knowledge infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.

Job Responsibility:

Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
Design and build optimized indexing pipelines for structured and unstructured data
Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
Improve retrieval quality through evaluation and observability frameworks
Design APIs for internal and external user and agentic consumers
Optimize latency, throughput and cost across large-scale inference and retrieval workloads
Drive technical direction for reliability and security

Requirements:

Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems
Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas
Retrieval Intuition: You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch
RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns
Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python
Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi
Product Thinking: You can design clean, intuitive APIs
Ambiguity Navigator: You’re comfortable in a high-growth environment

Nice to have:

Experience building multi-tenant SaaS platforms
Experience with retrieval evaluation frameworks
Experience with query planning or agentic reasoning loops

What we offer:

Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend

Additional Information:

Job Posted:
February 19, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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