Anthropic
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2021
- Size
- 1,500+
- Website
- anthropic.com
- Blog
- anthropic.com
Products
Anthropic currently has 151 active AI-related job listings, with a significant focus on roles related to agents, which constitute 32% of their openings. Engineering is the most frequent function, followed by Research. The majority of their hiring is concentrated in the United States. Frequent technical tags include evals, model_serving, and agent_orchestration, suggesting a focus on the practical deployment and management of AI systems.
Currently tracking 127 active AI roles, down 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $406k).
AI Frontier · AI lab
Anthropic currently has 149 active AI-related roles in our index. The most common open titles are: 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), Product Manager, Safeguards Rare Harms. Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (31%), serving infrastructure (15%), post-training (15%). 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 (130 roles), United Kingdom (18 roles), Canada (6 roles), Ireland (3 roles).
Job postings at Anthropic most frequently mention: Machine Learning, AI Safety, Production ML Systems, System Design, Large Language Models (LLMs).
In the past 30 days, Anthropic has posted 24 new AI-related roles. That is a -27% change versus the prior 30 days (33 → 24).
| 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 |
| Engineering Manager, Connectivity - London Engineering Manager for the Connectivity team in London, responsible for leading a team that builds and maintains the infrastructure for AI agent tool use, including MCP proxy, OAuth, and token management. The role focuses on reliability, enterprise trust, and scaling these systems for Anthropic's products like Claude.ai. | — | 5 |
| 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 |
| Staff+ Software Engineer, Account Compromise Staff+ Software Engineer focused on account compromise detection, response, and remediation within Anthropic's Safeguards organization. This role involves setting technical direction, owning architecture, threat modeling, leading investigations, and building systems to protect users from account takeover, credential abuse, and compromised API keys. The position requires strong software engineering fundamentals, experience with security systems, and the ability to make critical architectural decisions in an adversarial domain. | — | 0 |
| 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 |