Senior/Staff Software Engineer, Search & Retrieval Infrastructure

Responsibilities

• 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

• Systems Expertise Architectural Depth: Proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems
• Data Engineering Savvy: Comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas
• AI & Retrieval Retrieval Intuition: 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: Understanding of RAG patterns, embedding pipelines, hybrid search techniques, query planning, and metadata filtering
• Technical Language Fluency: Expertise in at least one major language like Go, Rust, C++, Java, or Python
• Infrastructure: Familiarity and experience with modern infrastructure tools, Kubernetes, cloud-native architectures, observability frameworks, and infrastructure-as-code tools like Terraform or Pulumi
• Ownership & Impact Product Thinking: Ability to design clean, intuitive APIs for both human developers and autonomous agents
• Bonus Points: Experience building multi-tenant SaaS platforms, experience with retrieval evaluation frameworks, and experience with query planning or agentic reasoning loops

Qualifications

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

Skills

• Systems Expertise Architectural Depth
• Data Engineering Savvy
• AI & Retrieval Retrieval Intuition
• RAG & Orchestration
• Technical Language Fluency
• Infrastructure
• Ownership & Impact Product Thinking
• Bonus Points

Benefits

• 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

Pay

$190K - $270K

Schedule

Full-time