Anthropic has 145 active AI-related job listings. The majority of these roles are focused on agents, comprising 28% of the total. Engineering is the most frequent function, with 74 listings, followed by Research with 51. The company is primarily hiring in the United States, with 118 positions, and the United Kingdom, with 22. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deployment and evaluation of AI systems. In the last 30 days, Anthropic posted 16 new AI roles, a 47% decrease compared to the previous 30-day period.
Currently tracking 124 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $405k).
Anthropic currently has 132 active AI-related roles in our index. The most common open titles are: Applied AI Architect, Industries (2), Regional Research Economist, Economic Research (2), Research Engineer, Machine Learning (RL Velocity) (2), Research Engineer, Production Model Post-Training (2), Staff Software Engineer, AI Reliability Engineering (2). Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (28%), serving infrastructure (17%), post-training (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anthropic is hiring AI talent in: United States (106 roles), United Kingdom (20 roles), Canada (6 roles), Ireland (5 roles).
Job postings at Anthropic most frequently reference: model serving, evals, llm observability, agent orchestration, inference infra.
In the past 30 days, Anthropic has posted 29 new AI-related roles. That is a +61% change versus the prior 30 days (18 → 29).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer, AI Reliability Engineering at Anthropic. This role focuses on improving the reliability, robustness, and resilience of AI serving systems, specifically for large language models like Claude. Responsibilities include developing SLOs, designing monitoring and observability, assisting with high-availability infrastructure, leading incident response for critical AI services, and supporting the reliability of safeguard model serving. | Serve | 7 |
| Software Engineer, Safeguards Infrastructure Software Engineer focused on building foundational systems for AI safety, including infrastructure for data management, metric and evaluation systems, and tooling for human and agentic review. The role involves ensuring the day-to-day running of Safeguards systems and building robust, reliable multi-layered defenses for real-time improvement of safety mechanisms at scale. | Eval Gate |
| 7 |
| Staff Software Engineer, Node Infra Staff Software Engineer, Node Infra at Anthropic. This role focuses on owning the technical strategy and roadmap for node lifecycle management (ingestion, bring-up, health checking, automated repair) for AI clusters. It involves driving cross-team initiatives to scale AI clusters across multiple clouds and accelerator families, designing systems for hardware health and remediation, and defining infrastructure architecture. The role also requires close collaboration with cloud providers and internal teams on compute and infrastructure strategy, and establishing operational excellence practices. Requires deep expertise in distributed systems, reliability, cloud platforms, systems languages, and hands-on experience with ML accelerators. | — | 5 |
| Senior Staff+ Software Engineer, Kubernetes Platform Staff Software Engineer on the Kubernetes Platform team at Anthropic, responsible for owning, operating, and extending large-scale Kubernetes clusters (hundreds of thousands of nodes) used for training, research, and serving frontier AI models. This includes custom scheduling plugins, scaling the control plane, and building core cluster services. The role requires deep Kubernetes experience and a track record in production distributed systems. | Serve | 5 |
| Software Engineer, Safeguards Foundations (Internal Tooling) Software Engineer focused on building and maintaining internal tooling for AI safety and human review processes at Anthropic. This role involves creating case management, labeling, investigation, and enforcement interfaces for analysts, directly impacting the speed and accuracy of identifying harmful behavior and feeding signal back into model training. The position emphasizes product-minded development for internal users, backend services, and integrating with detection and enforcement systems, with a strong focus on guardrails and metrics. | Ship | 5 |
| Staff+ Software Engineer, Developer Productivity This role focuses on improving the developer experience for engineers and researchers at Anthropic, a company developing AI systems. The engineer will own the technical strategy and roadmap for their area, design and build scalable distributed infrastructure, and evolve build environments and language ecosystem standards to enhance productivity in both research and production workloads. The role requires deep experience with build systems, CI/CD, developer tooling in a monorepo, and proficiency in Python, Rust, or Go. | — | 0 |
| Staff Infrastructure Engineer, Cluster Infrastructure Staff Infrastructure Engineer focused on building and scaling compute clusters for AI model training and inference. This role involves owning the technical strategy for agent-driven cluster lifecycle management, ensuring high-bandwidth connectivity, security, scalability, and fault tolerance. The engineer will collaborate with cloud providers and internal teams to shape long-term compute strategy and establish operational excellence practices. | — | 0 |