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Datadog's ML Observability team is building cutting-edge tools to monitor, explain, and improve AI systems in production, with a focus on Large Language Models (LLMs) and generative AI. As a Staff Engineer, you will lead the development of new features and foundational capabilities within Datadog's LLM Observability product, shaping product direction and driving experimentation.
You will apply 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 customers monitor, troubleshoot, and optimize LLM-based applications in production.
Key responsibilities include:
- 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
- Work cross-functionally with other engineering teams, product, UX, and applied science to iterate fast and find product-market fit
- Develop and extend tools for tracing, evaluating, and debugging LLMs
- Influence architecture decisions and mentor engineers to build resilient, high-performance systems
- Stay close to customer pain points and use those insights to guide product and engineering priorities
- Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team
You bring a BS/MS/PhD in Computer Science, Engineering, or related scientific field (or equivalent experience), deep understanding of distributed systems and scalable backend architectures, and hands-on experience building and shipping LLM-powered or GenAI applications. Datadog operates as a hybrid workplace to support work-life harmony.
