AI Research Engineer, Search and Context

About the role Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research 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 Research 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. We'd love to hear from you if you have: 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. Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $225,000-$285,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy . Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.

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