Currently tracking 127 active AI roles, down 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $406k).
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.
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 32 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, Code RL Staff Software Engineer focused on the engineering aspects of reinforcement learning for AI coding capabilities, specifically creating and scaling agentic coding environments. The role involves designing frameworks and APIs for researchers, managing production RL runs, and improving the reliability and structure of research codebases. It emphasizes Python expertise, API design, and anticipating system failures. | AgentData | 9 |
| Staff+ Software Engineer, Claude Science Staff+ Software Engineer for Claude Science at Anthropic. This role involves building AI products that serve as a workbench for researchers, enabling them to conduct scientific work from hypothesis to publication. The engineer will partner with research teams to push model capabilities into production, shape product roadmaps, and translate user needs into engineering priorities. The role focuses on shipping AI-powered scientific tools and improving model performance for scientific tasks. |
| ShipAgent |
| 9 |
| Staff+ Software Engineer, Enterprise AI Products Staff+ Software Engineer for Anthropic's Enterprise AI Products team, focusing on building organizational context and workflows (plugins, skills, connectors, webhook-triggered agents) to make Claude a daily-use tool for enterprise customers. This role involves technical leadership, end-to-end product delivery, customer interaction, and close collaboration with research to integrate model capabilities into production. | AgentShip | 9 |
| Evals Infrastructure Tech Lead / Manager Lead the team building and scaling the distributed systems that orchestrate, schedule, and execute evals for frontier models, ensuring measurement quality, reproducibility, and that eval signal reaches decision-makers. This role involves managing engineers and contributing directly as an engineer, focusing on inference, research, and infrastructure engineering. | Eval GateServe | 9 |
| Machine Learning Infrastructure Engineer, Safeguards Research Machine Learning Infrastructure Engineer for Safeguards Research at Anthropic. Focuses on building and scaling infrastructure, data pipelines, and tooling for ML research, specifically for detection and mitigation of AI misuse. Owns training, evaluation, and scoring workflows, aiming to improve iteration speed, throughput, cost, and reliability of inference and scoring workloads. Bridges research and production by creating reliable, production-grade jobs from research workflows. | ServePost-train | 9 |
| [Pipeline] Staff+ Software Engineer, Developer Acceleration Staff+ Software Engineer to join Developer Acceleration team, responsible for the infrastructure enabling thousands of employees to be productive via agents. The role will define the future of agentic productivity at scale, own technical strategy, build and ship the runtime platform and tooling, write evals to benchmark agent behaviors, and ensure infrastructure scalability and reliability. | Agent | 9 |
| Manager, Applied AI Engineering, Life Sciences (Beneficial Deployments) Manager for Applied AI Engineering focused on Life Sciences, leading a team to build and deploy AI solutions (agents, integrations, tools) for scientific organizations. The role involves deep customer engagement, understanding scientific workflows, and ensuring reliable, reproducible access to biological data for AI agents, with a strong emphasis on safety and responsible deployment in a regulated-like environment. | Agent | 9 |
| Staff+ Software Engineer, Inference Runtime Staff+ Software Engineer for Anthropic's Inference Runtime team, focusing on the accelerator-agnostic core of their AI inference serving stack. The role involves setting technical direction, owning the architecture and roadmap, hands-on coding in Rust/Python, optimizing accelerator usage, and building validation systems. Requires deep systems engineering or ML infrastructure background with experience in performance optimization and large-scale distributed systems. | Serve | 9 |
| Software Engineer, Safeguards Evals Software Engineer role focused on building and owning the evaluation infrastructure for an agentic investigation system. This involves designing experiments, constructing high-quality eval datasets, measuring agent performance, analyzing coverage gaps, and productionizing research into release pipelines. The role also involves building tooling for policy experts and constructing RL environments to improve safety investigation capabilities. | AgentEval Gate | 9 |
| Research Engineer, Machine Learning (RL Velocity) Research Engineer focused on building and improving the RL training infrastructure and tooling at Anthropic. The role involves identifying and removing bottlenecks in the RL stack, partnering with researchers and other engineering teams, and owning the reliability and performance of research runs to enable faster iteration and shipping of better models at scale. | DataPost-train | 9 |
| Model Quality Software Engineer, Claude Code Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. Architect systems, tooling, and evaluation infrastructure to measure, understand, and improve Claude's coding capabilities. Drive architecture, mentor engineers, and influence the direction of Claude Code. | Eval GateAgent | 9 |
| Research Engineer, Interpretability Research Engineer focused on building and maintaining specialized infrastructure for interpretability research in AI systems. This involves developing tools for model analysis, optimizing training and inference pipelines, and ensuring reliability for safety audits, with a strong emphasis on understanding and controlling model behavior. | Post-trainServe | 9 |
| Performance Engineer, GPU This role focuses on optimizing GPU performance and systems engineering for large language models, specifically improving utilization and efficiency for inference and training at scale. It involves deep work in GPU programming, custom kernel development, and distributed systems. | ServePretrain | 9 |
| Engineering Manager, GPU (ML Accelerator) Engineering Manager for Anthropic's performance and scaling teams, focusing on optimizing compute resources for inference and training systems. The role involves leadership, technical contribution, bottleneck identification, and ensuring efficiency in large-scale ML systems, with a strong emphasis on GPU/accelerator programming and ML/OS internals. | ServeData | 9 |
| TPU Kernel Engineer TPU Kernel Engineer responsible for identifying and addressing performance issues across ML systems (research, training, inference), with a focus on designing and optimizing kernels for TPUs. Provides feedback to researchers on model performance impact. | ServePost-train | 9 |
| Staff Software Engineer, Claude Code Software Engineer to build and maintain new agentic coding tools for developers, leveraging advanced LLM features like tool-use, chaining, and orchestration. Requires expertise in React, full-stack development, and hands-on experience with LLMs and prompt engineering. Experience with safety, security, or compliance requirements is a plus. | Agent | 8 |
| Red Team Engineer, Safeguards This role focuses on adversarial testing and red teaming of AI systems and products to uncover vulnerabilities and ensure safety. It involves simulating sophisticated threat actors, researching novel testing approaches for capabilities like agent systems and tool use, and developing automated testing frameworks. The goal is to translate findings into concrete improvements and establish metrics for detection effectiveness. | Agent | 8 |
| Engineering Manager, Safeguards Interventions Engineering Manager for Anthropic's Safeguards Interventions team, responsible for leading a team that develops and deploys systems to handle safety violations in AI models. The role involves roadmap ownership, cross-functional collaboration, ensuring production reliability, and making critical safety vs. product tradeoff decisions for AI products. | Ship | 8 |
| Engineering Manager, Agent Runtime Platform Engineering Manager for the Agent Runtime Platform, responsible for provisioning and running compute and runtimes for internal agents. This role involves owning technical strategy, managing execution, prioritizing work, building and shipping the platform, defining secure agent execution, building reusable primitives, and ensuring infrastructure scalability and reliability. The role also requires collaboration with security teams and supporting internal teams in agent development. | AgentServe | 8 |
| Staff Software Engineer, Labs: Applied AI Staff Software Engineer, Applied AI role at Anthropic focused on building full-stack applications that bring frontier AI capabilities into workflows for non-technical professionals in less software-native roles. The role involves rapid prototyping, user immersion in unfamiliar domains, collaboration with research teams, and rigorous experimentation to validate product concepts, aiming to ship early and often to maximize learning in an ambiguous, uncharted territory. | Ship | 8 |
| Staff+ Software Engineer, Vertical AI Products (Multiple Roles) Staff+ Software Engineer for Anthropic's Vertical AI Products team, focusing on building industry-specific AI products (financial services, science, healthcare, enterprise) that integrate Claude. The role involves technical leadership, end-to-end product ownership, close collaboration with research, and direct customer engagement to shape and deliver AI solutions. | Ship | 8 |
| Software Engineer, RL Data Software Engineer on the RL Data team responsible for building systems that produce high-quality reinforcement learning data for Claude. This includes data collection pipelines, human feedback tooling, execution environments, and quality assurance. The role involves end-to-end ownership of stack components, iterating on prompts and evals, developing QA frameworks, hardening execution environments, and collaborating with domain experts and operations partners. | DataPost-train | 8 |
| Engineering Manager, Cybersecurity Products Engineering Manager for AI-powered cybersecurity products, leading a team to prototype and ship products using frontier models. The role involves setting technical direction, partnering with research, and staying close to customers. It requires hands-on technical involvement, product instincts, and scaling the team. | AgentShip | 8 |
| Engineering Manager, Research Tools Engineering Manager for Anthropic's Research Tools team, focusing on building and improving systems for large-scale, distributed finetuning runs and enhancing researcher productivity. The role involves prioritizing team work, designing operational processes, coaching reports, and managing recruiting efforts to support rapid growth in AI model development and research. | Post-train | 8 |
| Manager of Applied AI Architecture, Enterprise Tech (Cyber) Manager of Applied AI Architecture, Enterprise Tech (Cyber) at Anthropic, responsible for leading a team that drives the adoption of Anthropic's AI products (Claude for Enterprise, Claude Code, API) within Enterprise Tech companies. This role involves technical guidance, pre-sales engagements, customer strategy, and ensuring the safe and reliable deployment of AI systems. | ShipAgent | 8 |
| Full-Stack Software Engineer, Reinforcement Learning Full-Stack Software Engineer to build platforms, tools, and interfaces for environment creation, data collection, and training observability for RL. The role involves owning product surfaces end-to-end, iterating on data collection strategies, and partnering with researchers to ship reliable products. | DataEval Gate | 8 |
| Senior Staff Software Engineer, API Senior Staff Software Engineer for Anthropic's Claude Developer Platform team, focusing on API Engineering. This role involves setting technical strategy for systems that make Claude accessible to developers at scale, ensuring reliability, capability, and growth. Responsibilities include defining multi-year technical strategy, leading complex engineering initiatives, making major architectural decisions, partnering with Research, Inference, Platform, Infrastructure, and Safeguards, and mentoring engineers. The role spans API Core, Capabilities, Knowledge, Distributability, and Agents, with a focus on shipping frontier model capabilities and agentic workflows. | ShipAgent | 8 |
| Staff Software Engineer, People Products Staff Software Engineer focused on building AI-native workflows and LLM-native features for internal people products at Anthropic. The role involves full-stack development, designing and implementing AI tools, evals, and prompts, and working directly with internal stakeholders to iterate quickly. Emphasis on autonomy, shipping products rapidly, and making independent product and architecture decisions in a low-structure environment. | Agent | 8 |
| Design Engineer, AI Capability Development (Education Labs) This role focuses on building and shipping AI-native product features that enhance human capability and skill development, operating as a technical lead within a research-focused team. The engineer will prototype, define technical direction, and collaborate across functions to integrate skill development principles into Anthropic's broader product strategy, measuring success by user capability growth. | Ship | 8 |
| Staff+ Software Engineer, Claude App Infrastructure Staff+ Software Engineer role focused on building the agentic layer and infrastructure for Claude App, enabling task execution, tool use, and safe interaction with external services. This involves designing and building sandboxed compute environments, state management for agent tasks, authentication/authorization, and observability tools for agent execution at scale. | AgentServe | 8 |
| Engineering Manager, Inference Engineering Manager for Anthropic's performance and scaling teams, focusing on improving model performance and scaling inference and training systems. Responsibilities include front-line leadership, managing day-to-day execution, prioritizing work, and coaching reports. Requires management experience in technical environments, background in ML/AI, and interest in safe AI development. | ServeData | 8 |
| Performance Engineer This role focuses on optimizing the performance, throughput, and robustness of large-scale distributed machine learning systems. The engineer will identify and solve novel systems problems, implement low-latency sampling, adapt models for low-precision inference, optimize serving efficiency, and design fault-tolerant distributed systems. While not directly building ML models, the role is critical for enabling ML algorithms to run efficiently at scale. | Serve | 8 |
| Staff+ Software Engineer, Privacy Staff+ Software Engineer, Privacy at Anthropic. This role focuses on establishing and leading the privacy engineering function for AI systems, architecting privacy-preserving systems, implementing privacy-enhancing technologies, and providing technical leadership. It involves working at the intersection of privacy engineering, AI safety, and distributed systems, with responsibilities including designing privacy-preserving architectures for training and inference, building privacy infrastructure, translating regulations into technical implementations, and leading privacy reviews. The role requires experience with privacy engineering principles, Python/Go, production systems at scale, data governance, and privacy regulations. | DataServe | 7 |
| Engineering Manager, Search Engineering Manager to lead the Search Platform team, responsible for the search stack behind Claude, including indexes, retrieval, ranking, and serving infrastructure. The role involves owning the strategy, roadmap, search quality, and operating the platform at scale, with a product dimension to define search experience. Requires strong technical depth, product mindset, and experience managing engineering teams and search systems. | ServeAgent | 7 |
| Staff Software Engineer, Environments Infrastructure Staff Software Engineer focused on building and maintaining the infrastructure for reinforcement learning environments at Anthropic. This role involves designing APIs, frameworks, and tooling to support researchers in building and operating AI agents, with a focus on stateful distributed systems, agent runtimes, and productionizing research for AI capabilities improvement. | AgentData | 7 |
| Recruiting Solutions Engineer This role focuses on enabling recruiters to effectively use AI (Claude) in their hiring workflows. It involves educating users, providing technical support, and building prototypes for AI-assisted hiring processes. The engineer will translate recruiter-built skills into reusable assets and design evaluation approaches for these workflows. | Agent | 7 |
| Safeguards Enforcement Analyst, Violence & Extremism This role focuses on building and executing operational workflows to assess AI model behavior, drive enforcement decisions, and develop evaluations for violence and extremism policy areas. It involves designing automated enforcement systems, creating evals to measure model performance, and partnering with engineering and data science teams to optimize detection and enforcement. The role also requires reviewing flagged content, identifying misuse patterns, and staying updated on emerging threats and AI policy enforcement best practices. | Eval GateAgent | 7 |
| Staff+ Software Engineer, Safeguards Review Tooling Staff+ Software Engineer for Anthropic's Safeguards Review Tooling team. This role focuses on building internal tools and platforms for safety investigators to identify and act on harmful behavior. Responsibilities include developing investigation tooling, a platform layer for reusable APIs and data storage, scaling review through automation with Claude, and partnering with various teams to ensure effective enforcement systems. The role emphasizes building guardrails for sensitive tools, instrumenting shipped tools, and ensuring tooling evolves with privacy and data retention commitments. Experience with full-stack or platform engineering, shipping internal tools, and cross-functional collaboration is required. Preferred qualifications include experience with trust and safety tooling, privacy/compliance constraints, integrating LLMs/agentic systems, and building developer platforms. | Agent | 7 |
| Technical Enablement Lead, Claude Platform This role focuses on enabling Anthropic's go-to-market teams by creating technical content, demos, and hands-on labs for the Claude Developer Platform. The Technical Enablement Lead will translate new platform capabilities into field-ready materials, deliver training, coach technical sellers, and provide feedback to the product team. The role requires hands-on experience with LLM APIs and agents, including tool use and agent frameworks, and experience in a customer-facing technical role. | Agent | 7 |
| Staff + Senior Software Engineer, Inference Deployment Software Engineer focused on designing and building the deployment infrastructure for AI inference services across various hardware accelerators (GPUs, TPUs, Trainium). The role involves optimizing deployment orchestration, capacity-aware scheduling, and observability to ensure safe, quick, and uninterrupted production releases, managing resource constraints and minimizing cycle time from code merge to production. | Serve | 7 |
| Engineering Manager, Safeguards Review Tooling Engineering Manager for Anthropic's Safeguards Review Tooling team, focusing on building and scaling systems for AI safety investigation and enforcement. This role involves leading a team to develop tooling that supports human reviewers and integrates AI (Claude) for automation, with a strong emphasis on privacy, analytics, and a sandbox environment for rapid iteration. | AgentServe | 7 |
| Staff + Senior Software Engineer, Inference Software Engineer focused on building and maintaining the distributed systems that serve large language models (like Claude) to millions of users. The role involves maximizing compute efficiency, enabling research through high-performance inference infrastructure, and integrating new AI hardware and model architectures. | Serve | 7 |
| Staff + Sr. Software Engineer, Cloud Inference Launch Engineering Staff + Sr. Software Engineer role focused on scaling and optimizing Claude's inference on cloud platforms (AWS, GCP, Azure). Responsibilities include owning the end-to-end product of Claude on each cloud platform, API integration, intelligent request routing, inference execution, capacity management, and day-to-day operations. The role involves validating inference server and load balancer changes, ensuring correctness, performance, and reliability. Key tasks include bringing up inference for new model architectures, integrating new inference features, fixing cross-platform differences, designing and owning CI/CD infrastructure, driving down cycle time for validation, and analyzing observability data for bottlenecks and regressions. | Serve | 7 |
| Staff + Sr. Software Engineer, Cloud Inference This role focuses on building and optimizing backend services and infrastructure for serving large language models (LLMs) like Claude across multiple cloud service providers (CSPs). The engineer will be responsible for API integration, intelligent request routing, inference execution, capacity management, and day-to-day operations, ensuring reliability, cost-effectiveness, and performance at massive scale. The role involves cross-functional collaboration with internal teams and CSP partners, CI/CD automation, and analyzing observability data. | Serve | 7 |
| Performance Engineer, Inference Systems Performance Engineer for Anthropic's inference fleet (Claude), focusing on throughput, latency, reliability, and correctness. The role involves cross-layer performance investigations, improving correctness evaluation pipelines, building observability tools, and partnering with component teams to implement optimizations. Requires strong performance engineering, Python, and data analysis skills, with a genuine interest in correctness as an engineering discipline. | ServeEval Gate | 7 |
| Staff+ Software Engineer, Public Sector Staff+ Software Engineer for Anthropic's public sector team, focusing on building and scaling AI applications for governments. This role involves full-stack development, customer collaboration, and adapting Claude for government workflows, particularly in national security and public services. The position requires experience with AI/ML models and shipping enterprise/government-grade products, with a strong emphasis on public sector experience and adapting AI for critical operations. | Ship | 7 |
| Applied AI Architect, Commercial This role is a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and how they can successfully integrate and deploy Claude into their technology stack. The role involves being a hands-on builder, creating reusable blueprints, demos, and enablement. Responsibilities include partnering with account executives, serving as the primary technical advisor, supporting customers building with the Claude API, shipping working code, building prototypes and proof-of-concepts, developing eval frameworks, writing near-production examples, building reusable blueprints and demos, guiding technical architecture decisions, helping customers integrate Claude, and helping customers develop evaluation frameworks. | Agent | 7 |
| Global Applied AI Architecture Lead, Beneficial Deployments Lead a global team of Applied AI Architects who partner with mission-driven organizations to deploy Claude, focusing on responsible and effective adoption to accelerate their missions. This role involves setting strategy, scaling the team, influencing product roadmaps, and representing Anthropic as a senior technical leader in high-impact partnerships. | Agent | 7 |
| Staff+ Software Engineer, Full-stack Staff+ Software Engineer, Full-stack at Anthropic, focusing on building and scaling AI products for enterprise customers. This role involves end-to-end ownership of products like Claude.ai, the Anthropic API, enterprise deployments, and specialized industry applications. Responsibilities include developing developer tools, enhancing enterprise workflows with features like plugins and retrieval, ensuring security and compliance, and driving user growth and monetization. The role requires a product-oriented mindset and technical leadership across the full stack. | Agent | 7 |
| Staff+ Software Engineer, Backend Experienced backend engineers to own and scale the backend systems powering Anthropic's user-facing products like API, Claude Code, and Claude.ai. The role involves scoping and leading complex projects, making architectural decisions for reliability and scalability, and translating frontier model improvements into shipped products. Specific teams focus on API core, capabilities (vision, tool use), knowledge integration, developer experience, agent infrastructure, enterprise foundations (security, compliance, analytics), identity/verification, and marketplace platforms. | ShipAgent | 7 |