AI Engineer (Search and Context)

Hex Technologies•San Francisco, CA

1d•$225,000 - $285,000

About The Position

Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. 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. If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context. We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including: 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 This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests. We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space. Note: We deeply respect and appreciate deep AI/ML research; this role is not that. While experience producing relevant journal publications is awesome, it won’t be part of this role’s deliverables.

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.
You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
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.

Responsibilities

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