Design and build scalable platform components leveraging advanced retrieval
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 users
Optimize latency, throughput, and cost across large-scale inference and retrieval workloads
Drive technical direction for reliability and security

Requirements

Proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems
Comfortable building high-throughput indexing pipelines that handle both structured and unstructured data
Experience in semantic search, vector databases, hybrid retrieval strategies, or traditional search engines like Elastic or OpenSearch
Understanding of Retrieval-Augmented Generation (RAG) patterns
Expert in at least one major language like Go, Rust, C++, Java, or Python
Familiarity with modern infrastructure tools like Kubernetes, Terraform or Pulumi
Ability to design clean, intuitive APIs
Comfortable in a high-growth environment

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend developmentindexing pipelinessemantic searchvector databaseshybrid retrievalRetrieval-Augmented GenerationGoRustC++JavaPython

Soft Skills

design APIstechnical directionreliabilitysecurityevaluation frameworksobservability frameworkshigh-growth environment