Description
The Agent Observability team at Datadog builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI.
As a Staff Engineer, you'll lead the development of new features and foundational capabilities within Datadog's LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape.
Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. You'll drive design and implementation of LLM observability features, ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems.
You'll work cross-functionally with other engineering teams, product, UX, and applied science to iterate fast and find product-market fit. You'll develop and extend tools for tracing, evaluating, and debugging LLMs, influence architecture decisions, and mentor engineers to build resilient, high-performance systems.
The ideal candidate has a BS/MS/PhD in Computer Science, Engineering, or a related scientific field, with deep understanding of distributed systems and scalable backend architectures. You should have hands-on experience building and shipping LLM-powered or GenAI applications, and a product-oriented mindset.
Benefits include competitive global benefits, continuous professional development, and a wide range of best-in-class, comprehensive and inclusive employee benefits.
The reasonably estimated yearly salary for this role at Datadog is: $234,000-$300,000 USD