8 hours ago
Base Salary
$320k - $485k/yr
Responsibilities
- Develop monitoring systems that detect unwanted behavior from API partners and support automated enforcement and analyst review.
- Deploy monitoring systems across multiple clouds and partner environments while maintaining consistent deployment pipelines, smoke tests, observability, and alerting.
- Design and harden sandboxed runtimes for AI agents, including isolation, network egress controls, least-privilege access, audit logging, and insider-risk controls.
- Manage cost and capacity for large volumes of long-running agent workloads and meet platform service-level objectives.
- Partner with engineering, research, security, privacy, and legal teams to ship trusted detection capabilities.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or comparable experience.
- Proficiency in Python, distributed systems, and infrastructure as code.
- Experience across multiple cloud providers or building provider-agnostic infrastructure.
- Experience building and operating large-scale distributed infrastructure such as data platforms, control planes, or job schedulers.
- Experience with sandboxing and isolation technologies such as containers and microVMs, or with a systems language such as Rust.
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
- Strong candidates may have 8+ years of software engineering experience, experience with sensitive or regulated data, production LLM-based agent experience, or experience with integrity, spam, fraud, or abuse detection and mitigation.
Benefits
- Annual compensation range is $320,000—$485,000 USD.
- Hybrid policy currently expects staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is offered, with reasonable efforts made after an offer and support from an immigration lawyer.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.