Jobs

Build the infrastructure that makes AI search instant.

Our search API handles millions of queries across 100+ languages, our models run on everything from phones to GPUs, and our vector stores need to be faster than thought. We need exceptional backend engineers to make it all work at scale.

You'll:

Design systems that serve billions of queries
Build distributed training infrastructure for next-gen models
Optimize everything from CUDA kernels to API response times
Ship features that directly impact millions of developers
Work on hard problems: multimodal search, streaming LLM responses, real-time model updates

You are:

Obsessed with performance and elegant system design
Comfortable across the stack (but backend is your home)
Excited by distributed systems and ML infrastructure
A great communicator who can explain complex ideas simply
A user of the AI

You've:

Built backend systems that handle serious scale
Worked with Python, Ray, and Rust in production
Optimized ML models or inference systems
Contributed to open source projects
Shipped APIs that developers love
Or have the grit to do all of the above

Compensation

Base salary: $120K - $240K
Equity: Significant equity package - we're one of the first 10 hires

Join us in San Francisco, backed by advisors from OpenAI, Scale AI, and Google DeepMind. Build infrastructure that makes AI search feel like magic.