AI Engineer - Search (Agents)
About Sana
Sana is an AI lab building superintelligence for work.
We believe organizations can accomplish their missions faster when humans can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI.
As part of Workday, we are committed to building AI that augments humans.
If that’s a mission that excites you, you’re in the right place.
About this role
Agents are bottlenecked by what they know, and search is a key ingredient of context engineering. You'll architect and scale Sana's search systems to handle enterprise-scale knowledge discovery—10-100x current volumes with sub-second latency and exceptional relevance. You'll design hybrid retrieval pipelines, ranking algorithms, and search APIs that enable agents to reason and act on the right information. Strong expertise in search engines, vector databases, embedding models and ranking algorithms is essential for success in this role.
Search is rapidly transforming in the age of agents and you'll be at the forefront.
In this role, you will
Scale search infrastructure to billions of documents across multi-tenant environments
Design hybrid retrieval combining semantic vector search with traditional IR techniques
Build ranking systems that learn from user behavior to improve relevance
Optimize the full search stack—query understanding, indexing, and distributed retrieval
Establish observability frameworks to measure and improve search quality
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Shape the future of knowledge discovery with product and design teams
What success looks like
Search scales to enterprise volumes with sub-second latency and 99.99% uptime
Retrieval applies proven IR techniques and cutting-edge agentic search
Quality metrics and regression detection catch issues before they impact users
You balance hands-on implementation with system design and mentorship
Performance bottlenecks are solved proactively across the stack
Agents consistently find and use the right context to serve users
Our tech stack
We build on a simple modern stack optimized for both humans and AI:
Backend: TypeScript, Node.js
Frontend: TypeScript, React, Tailwind
Databases: Postgres, Redis
Cloud infra: GCP/Kubernetes/Terraform
What We Offer
Help shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.
Competitive salary complemented with a transparent and highly competitive options program.
Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.
Work with talented teammates across 5+ countries, and collaborate with customers globally
Regular team gatherings and events (recently in Italy and South Africa)
