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Senior Software Engineer, Knowledge Engine

United States · Job Posted February 19, 2026
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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

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