Rust Search Infrastructure Engineer

Senior / Staff Search Infrastructure Engineer (Rust)

Company: Search Infrastructure for AI (Startup)
Location: Remote (EU-friendly preferred)
Type: Full-time
Focus: Core Search, Retrieval & Ranking Infrastructure

About the role

We are an early-stage startup building search infrastructure for AI systems. The focus is on core retrieval, ranking, and query execution over large-scale web and document corpora, enabling fast, reliable, and well-grounded search.

This is a systems-heavy role working close to the metal in Rust. You’ll own foundational components at the heart of the search stack.

What you’ll work on

• Search & retrieval infrastructure
  Design and build indexing and query-serving systems optimized for low latency, freshness, and scale.
• Ranking, relevance & grounding
  Develop ranking and reranking pipelines, deduplication, quality signals, and provenance / citation mechanisms.

Requirements

• Strong production Rust experience
• Hands-on experience building search / information retrieval systems
• Solid understanding of indexing, retrieval, ranking, and relevance trade-offs
• Comfortable owning systems end-to-end in a startup environment

Relevant experience / technologies

• Search & IR: lexical search (e.g. BM25), hybrid retrieval, vector / ANN search (e.g. HNSW)
• Indexing & data pipelines: ingestion, canonicalization, chunking, incremental indexing, deduplication
• ML-adjacent: embeddings, rerankers, offline relevance evaluation
• Nice to have: knowledge graphs (entity linking, graph storage), crawler adjacency, quality / anti-spam signals

Why this role

• Build core search infrastructure from an early stage
• High ownership and architectural influence
• Direct impact on how AI systems discover and ground information

Send your resume to: ai.search.infra@rustjobs.dev