AI Search Engineer
Build the search infrastructure that powers how AI agents find, understand, and reason over data. Engineered from the ground up for an agentic world.
Why this role matters
About the role
We are rebuilding search from the ground up for an agentic-first world. Agents doing professional work need the sources their field depends on, constantly indexed and searchable over time.
This is one of the highest-responsibility and highest-leverage roles at Olostep. You will shape how trillions of knowledge-work agents search the sources their work depends on.
You will own the search pipeline for those verticals: how we ingest and index the sources that matter, and how we process and rank results for both fast lookup and deep, multi-step research. You'll design systems that are reliable, low-latency, and built around the reasoning patterns of modern AI agents.
What you'll do
- Design and scale ingestion for knowledge-work verticals, optimized for freshness, coverage of the sources that matter, and extracting agent-relevant signals.
- Build and maintain an indexing pipeline for those verticals, with structured metadata agents can reason over.
- Develop query processing and ranking systems that serve both fast search and deep research use cases.
- Build retrieval pipelines that are natively agentic, with awareness of context, multi-hop reasoning, and iterative query refinement.
- Instrument the search stack with observability tooling and use it to continuously improve relevance and reliability.