Resumo da vaga

Senior/Staff Software Engineer, Search & Retrieval Infrastructure

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • 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
  • Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability.
  • 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 understand that "search" is more than just a keyword match. 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, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.
  • 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 don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.
  • Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket."
  • Experience building multi-tenant SaaS platforms.
  • Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results.
  • Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).
  • 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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