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 |
|---|---|---|
| Applied AI Engineer Applied AI Engineer role focused on being a technical advisor to customers adopting Claude LLMs. Responsibilities include guiding architecture design, developing evaluation frameworks, and advising on implementation patterns for LLMs via API. Requires production experience with LLMs, strong Python skills, and expertise in common LLM implementation patterns. | Agent | 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 |
| Applied AI Engineer Applied AI Engineer to serve as a technical advisor for companies building on the Claude Developer Platform, focusing on implementation, agent design, and building AI applications. Responsibilities include technical engagements, developing evaluation frameworks, designing architectures, and creating technical resources. | Agent | 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 |
| Applied AI Engineer Applied AI Engineer role focused on being a technical advisor to customers adopting Anthropic's Claude LLM. Responsibilities include guiding customers through architecture design, developing evaluation frameworks, and implementing cutting-edge LLM patterns via API. Requires strong programming skills (Python) and production experience with LLMs, including agent development and evaluation. | Agent | 8 |
| Applied AI Engineer, Life Sciences (Beneficial Deployments) Applied AI Engineer role focused on deploying Claude in life sciences to accelerate scientific progress. The role involves partnering with research institutions, building agents integrated into scientific workflows, and developing ecosystem infrastructure like MCP servers, benchmarks, and agent skills. The goal is to make Claude a go-to tool for the life sciences ecosystem, from discovery to pharma pipelines. | Agent | 8 |
| Manager, Forward Deployed Engineering Manager for a new Forward Deployed Engineering team at Anthropic, focused on helping enterprise customers adopt Claude. This player-coach role involves hiring, developing, and leading a team of FDEs to ship production AI applications, build playbooks, and influence product direction. Requires strong leadership, technical mentorship, and customer-facing experience. | Ship | 8 |
| Staff Software Engineer, Inference Staff Software Engineer on the Inference team responsible for building and maintaining systems that serve Claude to millions of users. Focuses on maximizing compute efficiency and enabling research through high-performance inference infrastructure, involving distributed systems, request routing, and LLM inference optimization. | Serve | 8 |
| Full Stack Software Engineer, Reinforcement Learning Full-Stack Software Engineer to build platforms, tools, and interfaces for Reinforcement Learning environment creation, data collection, and training observability. This role supports researchers, vendors, and data labelers in generating high-quality training data for frontier models. Requires strong full-stack engineering skills and ability to build reliable products. | DataEval Gate | 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 |
| Forward Deployed Engineer, Federal Civilian Forward Deployed Engineer for Anthropic's Applied AI team, embedding with federal civilian customers to drive AI adoption and ship advanced AI applications built on Claude models. Responsibilities include building production applications, delivering technical artifacts like sub-agents, providing deployment support, identifying repeatable patterns, and building customer relationships. Requires strong programming skills, production LLM experience (prompt engineering, agent development, evaluation, scaling), and experience with government agencies. | Agent | 8 |
| Applied AI Engineer, Beneficial Deployments Applied AI Engineer focused on deploying AI to mission-driven organizations, advising on AI applications like evals and agent architectures, and building infrastructure to scale impact. Requires production experience with LLM applications and a builder mindset. | Agent | 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 |
| Applied AI Architect, Startups This role involves partnering with startups to help them build and scale LLM solutions on the Claude Developer Platform. The architect will guide them through technical evaluations, design architectures, and ensure successful deployment of AI systems, acting as a technical advisor and builder. | Agent | 8 |
| Forward Deployed Engineer, Applied AI Forward Deployed Engineer to embed with strategic customers, drive AI adoption, and ship advanced AI applications using Claude models. Responsibilities include building production applications, delivering technical artifacts like sub-agents, providing deployment support, identifying deployment patterns, and maintaining knowledge of LLM capabilities. Requires 3+ years in a technical, customer-facing role with production LLM experience, strong Python skills, and high agency. | Agent | 8 |
| Staff Software Engineer, Inference Staff Software Engineer on the Inference team responsible for building and maintaining systems that serve Claude to millions of users. Focuses on maximizing compute efficiency and enabling research through high-performance inference infrastructure, tackling distributed systems challenges across diverse AI accelerators and cloud platforms. | Serve | 8 |
| Staff + Sr. Software Engineer, Inference The Inference team at Anthropic is responsible for building and maintaining the systems that serve Claude to millions of users. This involves managing the entire stack from request routing to fleet-wide orchestration across diverse AI accelerators, with a dual mandate of maximizing compute efficiency and enabling research breakthroughs. The role requires significant software engineering experience, particularly with distributed systems, and experience with LLM inference optimization. | Serve | 8 |
| Creative Technologist, Editorial This role focuses on translating cutting-edge AI research into compelling online experiences, interactive installations, apps, and web experiences. The Creative Technologist will prototype novel interaction modes and creative applications of frontier AI models, collaborating with research, editorial, and communications teams to demonstrate AI capabilities and limitations to both technical and general audiences. The role involves full-stack development from concept to deployment, with a focus on building and maintaining tools for rapid prototyping. | ShipAgent | 8 |
| Engineering Manager, AI Reliability Engineering Engineering Manager for AI Reliability Engineering at Anthropic, focused on managing a team that defines and achieves reliability metrics for internal and external AI products and services, including LLM serving and training systems. The role involves driving SLOs, overseeing monitoring, architecting high-availability infrastructure, leading incident response, and optimizing AI infrastructure costs. | ServePost-train | 8 |
| Engineering Manager - AI Reliability Engineering Manager for AI Reliability at Anthropic, leading a team focused on defining and achieving reliability metrics for large language model serving systems. This role involves overseeing monitoring, high-availability infrastructure, incident response, and cost optimization for AI infrastructure, while also pioneering the use of AI for reliability engineering. | Serve | 8 |
| Software Engineer, Inference Scalability and Capability Software Engineer focused on building and scaling inference systems for LLMs, optimizing compute efficiency, and developing new inference capabilities. This role involves complex distributed systems challenges across the inference stack, including request routing and prompt caching. | Serve | 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 |
| Senior Software Engineer, Inference Senior Software Engineer on the Inference team responsible for building and maintaining systems that serve Claude models to millions of users. Focuses on maximizing compute efficiency and providing high-performance inference infrastructure for research. | Serve | 8 |
| Software Engineer, ML Performance and Scaling Software Engineer focused on optimizing the throughput and robustness of large-scale distributed ML systems, requiring expertise in performance engineering and a willingness to learn ML. | Serve | 8 |
| Software Engineer, ML Performance and Scaling Software Engineer focused on optimizing the performance, throughput, and robustness of large-scale distributed ML systems, including implementing low-latency sampling, low-precision inference, and efficient serving algorithms. | Serve | 8 |
| Software Engineer, Inference Scalability and Capability Software Engineer focused on building and scaling inference systems for LLMs, optimizing performance, reliability, and compute efficiency. This role involves tackling complex distributed systems challenges across the inference stack, from request routing to caching, and supporting new model architectures and inference features. | Serve | 8 |
| 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 systems, including LLM serving and training infrastructure. The role involves designing monitoring, high-availability serving systems, automated failover, incident response, and cost optimization for large-scale AI infrastructure. | Serve | 8 |
| Machine Learning Systems Engineer, Model Evaluations This role focuses on building and maintaining the infrastructure for Model Evaluations and Research Inference, enabling researchers to systematically test and assess model capabilities. It involves designing scalable systems, optimizing APIs, creating data pipelines, and implementing monitoring for research-focused inference systems. The goal is to accelerate the model development lifecycle and support Anthropic's mission of creating safe and beneficial AI. | Eval GateServe | 8 |
| Machine Learning Systems Engineer, Model APIs Machine Learning Systems Engineer focused on building and maintaining Model Evaluations infrastructure and Research Inference APIs/infrastructure to enable researchers to effectively evaluate models and conduct inference tasks, directly impacting AI advancement. | Eval GateServe | 8 |
| Engineering Manager, Inference Scalability and Capability Engineering Manager for Inference Scalability and Capability team, responsible for building and maintaining critical systems that serve LLMs, focusing on scaling inference, ensuring reliability, optimizing compute, and developing new inference capabilities. Manages a team of engineers, drives operational excellence, facilitates advanced inference features, and partners with research, infrastructure, and product teams. | Serve | 8 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer focused on AI Reliability Engineering at Anthropic, responsible for defining and achieving reliability metrics for LLM serving and training systems. This includes designing monitoring, implementing high-availability infrastructure, leading incident response, and optimizing costs for large-scale AI infrastructure. | Serve | 8 |
| Software Engineer Software Engineer role focused on building and scaling large ML systems, improving infrastructure, efficiency, and tooling for AI research and development. The role emphasizes making safe, steerable, and trustworthy AI systems, with opportunities to work on various aspects of ML infrastructure and experiments. | Serve | 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 |
| 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+ Software Engineer, GRC Platform Software Engineer to build the platform for governance, risk, and compliance (GRC) at Anthropic. This role involves integrating data from various systems, creating automated checks, dashboards, and evidence for decision-making. The engineer will design and build data pipelines, integrations, and agentic workflows using Claude for tasks like evidence collection and analysis, translating policies into code, and developing real-time visibility dashboards. The goal is to turn manual compliance processes into scalable, reliable systems. | Agent | 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 + 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). The role involves owning the end-to-end product of Claude on each cloud, including API integration, request routing, inference execution, capacity management, and day-to-day operations. Key responsibilities include validating inference server and load balancer changes, ensuring correctness, performance, and reliability across platforms, and driving down cycle times for model launches and feature integrations. The role requires strong software engineering experience in distributed systems and experience with cloud platforms, with a focus on building automation and test infrastructure for inference services. | Serve | 7 |
| Data Scientist, Supply This role focuses on optimizing compute allocation for AI systems by building testing frameworks, connecting compute decisions to user outcomes, and partnering with infrastructure and research teams. The goal is to ensure efficient use of scarce AI resources and translate data-driven insights into operational changes that impact how AI reaches users at scale. | Serve | 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 |
| Productivity Engineer This role focuses on building AI-powered productivity tools for sales teams, specifically for top-of-funnel activities like lead processing, prospecting, and routing. It involves developing Claude-powered automations and alert systems, integrating various data sources, and analyzing engagement data to improve sales processes. The goal is to enhance sales effectiveness and pipeline generation using AI. | Agent | 7 |
| Partner Business Systems & AI Operations Lead This role focuses on building and operating an AI automation layer within business systems, specifically for partner operations. It involves creating agentic workflows, LLM-driven processes, and AI-augmented tools to improve efficiency and reduce manual work. The role requires hands-on experience with LLMs and AI agents, integrating them into production processes, and ensuring responsible AI deployment with evals and guardrails. The domain is enterprise AI operations, with a primary focus on developing and deploying AI agents and automated workflows. | Agent | 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 |
| Software Engineer, Research Data Platform Software Engineer to build and operate data pipelines and tooling for AI researchers managing data from training runs, exploring datasets, and analyzing experiments. Focus on data products supporting the research workflow. | Data | 7 |
| Technical Enablement Lead, Claude Code This role focuses on creating and delivering technical training and content for go-to-market teams, partners, and customers to enable them to effectively demonstrate and support Claude Code, an AI coding assistant. The lead will build demos, labs, and competitive positioning materials, and translate new features into field-ready content. The role requires strong programming skills and extensive use of AI coding tools. | 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 |
| Senior / Staff+ Software Engineer, Voice Platform Senior/Staff+ Software Engineer for Anthropic's Voice Platform, focusing on building and operating real-time streaming infrastructure, low-latency serving systems for speech models, and APIs for voice conversations with Claude. The role involves optimizing performance, ensuring reliability, and collaborating with research and product teams to bring audio models from research to production. | ServePost-train | 7 |