Senior Software Engineer, Knowledge Engine

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

• 6+ years of shipping production-grade backends for large-scale systems with focus on high throughput, low latency, and long-term maintainability.
• Experience building high-throughput indexing pipelines handling unstructured data and structured schemas.
• Direct experience or deep theoretical knowledge in semantic search, vector databases, hybrid retrieval strategies, or traditional search engines like Elastic or OpenSearch.
• Understanding of Retrieval-Augmented Generation (RAG) patterns, embedding pipelines, hybrid search techniques, query planning, and metadata filtering.
• Expertise in at least one major language: Go, Rust, C++, Java, or Python.
• Familiarity with Kubernetes, cloud-native architectures, observability frameworks, and infrastructure-as-code tools like Terraform or Pulumi.
• Ability to design clean, intuitive APIs for both human developers and autonomous agents.
• Comfortable owning problems in a high-growth, ambiguous environment.

Nice-to-Haves

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