Key skills
JavaKubernetesPythonRustTerraformGoC++CPulumi
About this role
Role Overview
- 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
Tech Stack
- Java
- Kubernetes
- Python
- Rust
- Terraform
- Go
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