AI Engineering Lead
Leads AI engineering team to integrate frontier AI technologies like LLMs and agentic workflows into the product, hires and mentors engineers, and delivers high-performing AI infrastructure. Requires 4+ years people management and deep AI/ML expertise.
About the job
What you will do
- Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities
- Define and implement the future of the AI Engineering function at Hex as we scale
- Hire and mentor an exceptional team of AI Engineers
- Support an exceptional developer and research experience for teams working with AI technology
- Deliver high-performing shared AI infrastructure, including search systems
About You
- 4+ years of people management experience and leading high-performing teams
- Deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals
- Obsessed with driving business outcomes and delivering value to customers
- Rigorous but pragmatic, balancing good experimental design with early-stage agility
- Strong communicator and love collaborating with other roles and teams to drive outcomes
- Talent magnet, with the ability to attract and retain exceptional AI talent
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.
Compensation
Salary range: $246,000 - $329,000
Skills
LLMs, Transformer Models, Agentic Workflows, Context Management, Agentic Evals, TypeScript, React, Apollo Graphql, Redux, Postgres, Redis, Kubernetes, Terraform, Helm, AWS
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