Senior/Staff Software Engineer (Search & Retrieval Infrastructure)

Asks for

• agentic reasoning loopsThe ad says“Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps)”
• applied AI infrastructureThe ad says“This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure”
• backend system architectureThe ad says“This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure”
• backend systemsThe ad says“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”
• C++The ad says“Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python”
• cloud-native architecturesThe ad says“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”
• distributed systemsThe ad says“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”
• ElasticThe ad says“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”
• embedding pipelinesThe ad says“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”
• GoThe ad says“Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python”
• hybrid retrieval strategiesThe ad says“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”
• hybrid searchThe ad says“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”
• indexing pipelinesThe ad says“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”
• JavaThe ad says“Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python”
• KubernetesThe ad says“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”
• metadata filteringThe ad says“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”
• multi-tenant SaaS platformsThe ad says“Experience building multi-tenant SaaS platforms”
• observability frameworksThe ad says“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”
• OpenSearchThe ad says“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”
• PulumiThe ad says“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”
• PythonThe ad says“Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python”
• query planningThe ad says“Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps)”
• retrieval evaluation frameworksThe ad says“Experience with retrieval evaluation frameworks—knowing how to actually measure “good” search results”
• Retrieval-Augmented GenerationThe ad says“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”
• RustThe ad says“Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python”
• semantic searchThe ad says“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”
• TerraformThe ad says“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”
• vector databasesThe ad says“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”