About the Role:

In this senior-level role, you will lead the architecture and evolution of AI-powered systems that transform probabilistic model outputs into reliable, production-grade product capabilities. You will design and ship systems around agents, retrieval pipelines, orchestration layers, and evaluation frameworks, while defining the architectural standards that ensure AI-driven features operate safely and at scale across our platform.

This is not a feature-delivery role — it is a systems-definition role. Your decisions will shape how AI capabilities are built, evaluated, and deployed across the organization.

About the Team:

Our AI Foundations team is building the foundation for how AI will power the next generation of products at Employ. This is a high-ownership, high-autonomy team responsible for turning rapidly evolving model capabilities into reliable, customer-facing systems.

Languages: Python, including asyncio, decorators, and the modern Python ecosystem. TypeScript / Node for integration and application-layer logic

AI Stack: Orchestration frameworks such as LangChain, LangGraph, or custom agent loops. Retrieval-Augmented Generation (RAG) systems. Hybrid search, re-ranking, and chunking strategies. Vector databases such as Pinecone, pgvector, or Weaviate

Database & Infrastructure: Advanced SQL skills including query optimization and indexing strategies. Containerization using Docker, Kubernetes or similar orchestration platforms. Experience running isolated environments for code execution

Your final offer will consider your unique skills, experience, and location. In addition to base salary, total compensation may include performance bonuses, equity, and a comprehensive benefits package.

If you’d like more details about how compensation is determined or how benefits factor in, please get in touch. We’re committed to fair, transparent pay and want to make sure you have the information you need.