xAI

This role focuses on enhancing legal operations systems and processes by assessing and handling legal requests from global government entities. The Senior Analyst will process high-volume content-removal and user-information production requests, leveraging expertise in legal operations, regulatory compliance, and content moderation. A key aspect of the role involves collaborating with technical teams to design, train, and refine AI agents, curate training data, and build scalable automation tools. The position requires strong analytical and risk-judgment skills, with a focus on optimizing AI-driven automation for legal and compliance workflows.

The Sandbox service team at xAI builds and maintains a secure, scalable system that gives AI models safe, controlled access to computational environments. This infrastructure powers critical workloads across training and product, enabling models to run code, build software, interact with tools, and control applications. The role involves provisioning containers and virtual machines on large-scale clusters, granting models interactive control over these remote environments, and spans full-stack development from job orchestration and resource scheduling to filesystem performance tuning. It supports real-time code execution for products like Grok and reinforcement learning in training where models explore various tools.

Backend Engineer for the Enterprise Agents Engineering Team at xAI, focusing on building full-stack solutions that integrate with systems, orchestrate workflows, and use AI to transform business operations. The role involves end-to-end product execution, customer collaboration, and iterative development.

This role focuses on building and operating AI agents and automated systems to support xAI's global Go-To-Market (GTM) organization, aiming to directly generate revenue through forecasting, CRM automation, and revenue capture. It requires a hands-on builder with experience in AI/LLM-powered agent workflows for revenue operations and sales.

Security Engineer role focused on building AI-driven security tools and agents to protect Kubernetes infrastructure and advance secure AI systems. Responsibilities include designing and implementing AI-powered security solutions, identifying vulnerabilities, and championing secure engineering practices. Requires expertise in Python, Rust, or Go, and experience with Docker and Kubernetes.