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AI Engineer
2 weeks ago
Location
Stockholm
Employment Type
Full time
Department
Engineering
About Sana
At Sana, we're on a mission to bring superintelligence to work—a seamless, beautiful way to access all your company's apps, knowledge, and data. We are obsessed with making AI agents do real work to empower our users to process and act on knowledge at an unprecedented scale.
We're a talent-dense team of engineers and designers in Stockholm, united by a passion for building great products with deep technical excellence. Our backgrounds span AI research at Google, distributed systems at Spotify, product design and AI infrastructure at Apple, competitive programming, and scaling fast-growing startups. At Sana, everyone is an owner. We cut out processes, maximize impact, and value rapid prototyping and iteration.
Our AI tools already help over a million people learn and work better across hundreds of leading enterprises. But we're just getting started—there's so much more to build. Join us to tackle some of the most challenging and meaningful problems of our generation.
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
- 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,
- 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)
