Lead AI Engineer - Frontier Data Solutions

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. We accelerate frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. We build proprietary intelligence systems that integrate AI into mission-critical workflows, unlocking transformative outcomes and driving lasting competitive advantage for enterprises.

Recognized by top industry publications as one of the world's innovators, our leadership team represents a wealth of AI expertise from leading companies and institutions. Discover more about us at www.turing.com.

The Role

We are seeking a top-tier engineer who embodies both technical prowess and exceptional communication skills. In this role, you will go beyond building models in a notebook; you will be on the front lines, architecting and delivering end-to-end Agentic AI products for our most strategic clients.

This is a high-stakes position where you will address challenging customer needs, translating ambiguous requirements into clear technical solutions. You will write production-grade code and deploy autonomous agents that effectively tackle real business problems.

What You Will Do

• Build & Deploy (60%):
  • Design and ship full-stack AI applications, managing the entire pipeline from data ingestion to the LLM inference layer and frontend interface.
  • Architect autonomous agentic workflows using frameworks such as LangChain, LangGraph, or customized implementations, ensuring they can reason, plan, and execute complex tasks.
  • Write clean, robust, and highly testable code (Python/Typescript) that performs seamlessly in restricted customer cloud environments.
  • Tackle DevOps and MLOps challenges, including Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.
• Customer Engineering (40%):
  • Act as the technical representative for our most demanding accounts.
  • Navigate complex stakeholder environments by clarifying ambiguous requirements and guiding customers toward feasible solutions while maintaining strong relationships.
  • Communicate technical constraints in ways that highlight business value for non-technical executives.
  • Ensure the generation of high-quality data and review the output produced by other experts, a critical aspect of this role.