About the role
About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.
The Role As a Forward Deployed Engineer at Traversal, you will own the last-mile delivery of the Traversal product by deploying frontier LLMs in production, optimizing multi-step reasoning workflows, and improving the performance and accuracy of our agentic systems. You will be responsible for the end-to-end deployment of the agent into the largest enterprises and ensuring it delivers accurate and actionable insights. This is a highly technical role at the intersection of AI, systems engineering, and customer impact. You’ll work across teams to ensure our AI agents interact seamlessly with large volumes of observability data and scale reliably across environments. The insights you generate through your customer-driven work will directly impact roadmaps for all other engineering teams at the company.
Responsibilities AI Agent Architecture: Design and build multi-step reasoning workflows that use LLMs and other components to analyze large-scale observability data. Prompting & Tooling: Develop tooling for prompt engineering, function calling, and agentic orchestration that optimizes latency, reliability, and performance. Production Deployment: Own technical delivery across multiple deployments from first prototype to robust, scalable production environments with low latency and high uptime