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AI Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling. The backbone of all of our AI experiences is providing relevant context to the agent. As an AI Engineer focused on our search and context architecture, you’ll be responsible for building out key components of our agentic platform, from agentic search and discovery subagents to high-scale, permissions-aware indexing systems.
Job Responsibility:
Experimenting with new agentic techniques for search, discovery, and context management
Designing and implementing the architecture for our scalable search and indexing pipelines
Working at the cutting edge of production AI applications deployed to real customers
Requirements:
Experience building and measuring high quality search and recommendation systems
Experience getting AI/ML capabilities into production and serving real users
A lot of enthusiasm for applications of AI to real business problems
Understanding of core MLOps/SW Architecture concepts for modern ML-based applications
Comfortable working in both Python & JS/TS
Experimentalist mindset
Interest in the data space, and a love of shipping great products and building tools that empower end users to do more
Experience maintaining a high quality bar for design, correctness, and testing