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 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.
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 |
|---|---|---|
| Data Engineer, Safeguards Data Engineer for the Safeguards team, responsible for building data pipelines, warehousing solutions, and analytical tooling to support AI safety and trust efforts. The role focuses on data infrastructure for monitoring models, preventing misuse, and ensuring user well-being. | Data | 7 |
| Engineering Manager, Inference Routing and Performance Engineering Manager for Anthropic's Inference Routing and Performance team, responsible for the cluster-level routing and coordination plane for the company's inference fleet. The role focuses on optimizing throughput and efficiency of AI model serving through custom algorithms, quantitative modeling, and deep systems understanding. | Serve | 7 |
| Staff + Sr. Software Engineer, AI Reliability This role focuses on improving the reliability of AI serving systems, including infrastructure, API layers, and accelerators. Responsibilities include developing SLOs, designing monitoring and observability systems, assisting with high-availability infrastructure, leading incident response for critical AI services, and supporting safeguard model serving. The role requires strong distributed systems and reliability backgrounds, with experience in large-scale model serving infrastructure being a plus. | Serve | 7 |
| Technical Program Manager, Infrastructure Technical Program Manager for Anthropic's Infrastructure organization, focusing on coordinating complex programs across developer productivity, tooling, reliability, and operations for AI systems. The role involves driving strategic initiatives, improving developer workflows, ensuring system reliability, and bridging communication between research, engineering, and product teams. | Serve | 7 |
| Staff + Sr. Software Engineer, Inference Deployment This role focuses on building and maintaining the infrastructure for deploying AI inference code to production across various accelerator fleets (GPU, TPU, Trainium). The core responsibility is to create a continuous, unattended deployment system that optimizes for resource constraints, minimizes cycle time, and ensures reliability at scale. It involves capacity-aware scheduling, deployment observability, and self-service onboarding for new models. | Serve | 7 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer focused on AI Reliability Engineering for large language model serving systems. Responsibilities include developing SLOs, designing monitoring and observability systems, implementing high-availability infrastructure, and leading incident response for critical AI services. This role partners with teams across Anthropic to improve reliability across serving paths. | Serve | 7 |
| Technical Program Manager, Inference Performance Technical Program Manager focused on inference performance and efficiency for AI models, coordinating launches, managing dependencies, and optimizing runtime and accelerator performance across multiple hardware targets. | Serve | 7 |
| Staff + Sr. Software Engineer, Cloud Inference Staff + Sr. Software Engineer, Cloud Inference at Anthropic. This role focuses on scaling and optimizing Claude's inference across multiple cloud service providers (AWS, GCP, Azure). Responsibilities include designing and building serving infrastructure, collaborating with CSPs, developing CI/CD automation, creating abstraction layers for cost-effective inference management, capacity planning, and optimizing inference cost and performance. The role requires significant experience in large-scale distributed systems and cloud platforms, with a strong interest in inference. | Serve | 7 |
| 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 GateAgent | 7 |
| Software Engineer, Cybersecurity Products Software Engineer focused on building AI-powered cybersecurity products. This role involves prototyping, iterating based on customer feedback, collaborating with research teams on model capabilities, and engaging with customers to inform product direction. It sits at the intersection of research, product, and go-to-market. | Agent | 7 |
| Infrastructure Engineer, Sandboxing Infrastructure Engineer to join the Sandboxing team within the Research organization. This role will build and scale systems for safely executing AI-generated code and interactions in isolated environments, focusing on distributed systems at scale with strong security boundaries. | Serve | 7 |
| Applied AI Architect, Industries This role is an Applied AI Architect focused on pre-sales for large enterprises, acting as a trusted technical advisor to help them understand and integrate Anthropic's Claude LLM into their technology stack. The architect will design innovative LLM solutions, guide customers through the adoption journey, and help them develop evaluation frameworks. | Agent | 7 |
| Software Engineer, Safeguards Software Engineer focused on building safety and oversight mechanisms for AI systems, including monitoring, misuse prevention, and abuse detection. The role involves developing systems to detect unwanted model behaviors, enforce policies, and build scalable defenses. | Agent | 7 |
| Software Engineer, Biology & Life Sciences Software Engineer to join the Life Science team, focusing on building robust, scalable AI systems to accelerate progress in life sciences. The role involves prototyping new products, developing critical infrastructure, and implementing efficient solutions for complex scientific problems, working at the intersection of AI and biology. Collaboration with researchers and domain experts is key, with a focus on translating biological requirements into technical implementations and ensuring Claude is capable of enabling complex workflows. | ShipPost-train | 7 |
| Data Operations Manager This role focuses on building and scaling data operations for AI research teams, managing the entire data pipeline from requirements to production. It involves partnering with researchers, managing vendors, and ensuring high-quality training data for frontier AI capabilities like RLHF, safety, tool use, and agentic workflows. The role requires operational excellence, technical depth in understanding training data, and strong project management skills. | DataPost-train | 7 |
| Staff Software Engineer, Systems Staff Software Engineer, Systems role at Anthropic focused on building and maintaining the infrastructure that supports AI clusters at massive scale. This includes compute uptime, resilience, networking, and reliability challenges, enabling frontier AI research and safe deployment to millions of users. The role requires deep knowledge of distributed systems, reliability, and cloud platforms, with experience in systems languages and leading infrastructure projects. | Serve | 7 |
| Principal Capacity Engineer, Compute This role focuses on capacity engineering for AI workloads, involving planning, forecasting, and optimization of global infrastructure. The engineer will design and deliver capacity management systems, build usage attribution, oversee planning tools and guardrails, model costs for research and training, identify efficiency opportunities, and partner with Finance and leadership for strategic decision-making. Experience with AI workload capacity, cross-functional projects, LLMs, and observability is preferred. | ServeData | 7 |
| Technical Documentation & Content Engineer, Claude Code This role focuses on creating comprehensive documentation and content for Claude Code, an AI agentic coding system. The engineer will lead documentation strategy, develop best practices, create resources for various development environments, design onboarding experiences, and collaborate with engineering teams to document new features. The role requires deep expertise in Claude Code, AI-powered development tools, and strong full-stack development skills. | Agent | 7 |
| Senior / Staff Software Engineer, Search This role involves building Anthropic's search platform from scratch, focusing on scalable and efficient information retrieval for Claude. The engineer will establish metrics, improve search algorithms, and enhance indexing mechanisms, requiring strong distributed systems experience and search fundamentals. | AgentServe | 7 |
| Engineering Manager, Claude Code Engineering Manager for Anthropic's Claude Code team, focusing on scaling the team, building core features for an AI-driven development tool, and managing engineers. The role requires a blend of technical expertise in web technologies and distributed systems, leadership experience, and a deep understanding of developer productivity and enterprise customer needs. | Ship | 7 |
| Technical Curriculum Engineering Lead This role focuses on creating technical educational content and demos for Anthropic's AI models, translating complex AI concepts into practical learning experiences for developers. It involves partnering with research and product teams to showcase Claude's capabilities and influence user education strategy. | Post-train | 7 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer focused on AI Reliability Engineering, responsible for defining and achieving reliability metrics for Anthropic's AI products and services, including LLM serving and training systems. This involves designing monitoring, implementing high-availability infrastructure, leading incident response, and optimizing costs for large-scale AI infrastructure. | Serve | 7 |