Software Engineer, Knowledge Engine Query Engine

present of AI; Zürich; Hybrid; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Exa is an applied AI lab that builds a search engine and API for AI models and agents. The Software Engineer, Knowledge Engine Query Engine will own the query engine that searches a very large knowledge graph across multiple retrieval backends.

The role requires deep experience in distributed databases, indexing, and query planning, with fluency in Go, Rust or C++. Expect work on latency profiling, performance tuning, and building scalable retrieval infrastructure for AI models and agents.

Qualifikationen

• Experience with distributed databases, search engines or storage systems.
• Strong knowledge of indexing, query planning and storage formats.
• Proficiency in Go, Rust or C++ and latency profiling at scale.

Aufgaben

• Own the query engine that searches a large knowledge graph across multiple backends.
• Profile and optimize queries to achieve low latency at high throughput.
• Contribute to retrieval infrastructure and work with vector, full-text, graph and geospatial indexes.

Kenntnisse

Distributed DB internals

Query planning

Indexing and storage formats

Go, Rust or C++

Latency profiling

Knowledge graphs familiarity

Jobbeschreibung

Software Engineer, Knowledge Engine Query Engine

The role owns the query engine that searches a very large knowledge graph spread across several retrieval backends. A strong candidate has worked deep inside a distributed database, search engine or storage system, knows indexing, query planning and storage formats, and is fluent in Go, Rust or C++. The work also calls for distributed systems fundamentals and a habit of profiling before optimizing, with measured latency wins shipped in production.

How it fits the AI era

The product serves AI models and agents that need fast, precise answers, so the engine must return results at agent speed and at high query volume. AI changes the scale and the kinds of questions asked, but the core engineering stays human: storage layout, cost based planning, consistency during live updates, and judging whether a plan returns correct and complete results.

How it builds AI experience

Working here means building retrieval infrastructure that AI agents depend on, so the experience gained is in serving machine consumers rather than people. A candidate can prepare by studying how vector, full text, graph and geospatial indexes differ and by practicing query planning and latency profiling on real systems. Familiarity with knowledge graphs and evidence backed claims helps, since the team synthesizes facts from across the web.

Worth showing

• Distributed database internals
• Query planning and optimization
• Indexing and storage formats
• Go, Rust or C++
• Latency profiling at scale

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Exa

Exa is an applied AI lab that builds a search engine and API for AI models and agents, per the company.