Anthropic
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2021
- Size
- 1,500+
- Website
- anthropic.com
- Blog
- anthropic.com
Products
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).
AI Frontier · AI lab
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 |
|---|---|---|
| Engineering Manager, Cloud Inference AWS Engineering Manager to lead the Cloud Inference team for AWS, responsible for scaling and optimizing Claude's inference, API, load balancing, capacity, and operations on AWS. The role ensures LLMs meet performance, safety, and security standards, and enhances global inference technology deployment. It focuses on increasing operational scale and accelerating the launch of new models and features. | Serve | 8 |
| Engineering Manager, Vertical AI Products (Multiple Roles) Engineering Manager for Vertical AI Products at Anthropic, focusing on building and shipping AI products for specific industries like financial services, life sciences, and healthcare. The role involves leading engineering teams, defining products, working with enterprise customers, and collaborating with research to improve AI models. The teams are often building products from scratch (0->1) or scaling existing ones. | Ship |
| 8 |
| 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 |
| Manager of Applied AI Architecture, Industries Manager of Applied AI Architecture for DACH Industries at Anthropic, responsible for driving the adoption of AI products (Claude for Enterprise, Claude Code, API) across large enterprises in Germany, Switzerland, and Austria. The role involves leading and growing a team of Applied AI Architects, focusing on pre-sales engagements, technical GTM strategies, and ensuring AI solutions meet customer business needs, technical requirements, reliability, and safety standards, while adhering to local regulatory requirements. | Ship | 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 |
| Research Engineer / Scientist, Societal Impacts Research Engineer/Scientist focused on designing and building infrastructure to study the societal impacts of AI systems, enabling research, policy, and product improvements. This role involves creating scalable systems for experiments, analysis, and monitoring, with a strong emphasis on collaboration and shipping impactful changes. | ShipEval 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 |
| Research Scientist, Societal Impacts Research Scientist focused on analyzing real-world usage patterns of Claude, building evaluations to assess its behavior against its Constitution (safety, quality of advice), and partnering with fine-tuning, safeguards, policy, and interpretability teams to translate insights into model improvements. The role also involves generating insights on societal impacts to inform company strategy and policy, and sharing work through publications and presentations. | Post-trainEval Gate | 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 |
| Biological Safety Research Scientist Research Scientist focused on biological safety for AI systems, applying technical skills to design and develop safety systems that detect harmful behaviors and prevent misuse. This role involves designing and executing capability evaluations, collaborating on training data and safety system training, analyzing performance, and stress-testing safeguards. The goal is to ensure biological safety is embedded throughout the model development lifecycle, balancing AI's potential in life sciences with preventing misuse. | Eval GatePost-train | 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 Engineer, Enterprise Tech Applied AI Engineer role focused on being a technical advisor to enterprise clients adopting the Claude API. Responsibilities include advising on architecture, developing evaluation frameworks, guiding customers through LLM implementation patterns, and creating scalable assets. Requires production experience with LLMs, strong programming skills, and customer-facing experience. | Agent | 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 |
| Applied AI Architect, Startups This role focuses on partnering with startups to help them build and deploy LLM-powered solutions using Anthropic's Claude Developer Platform. The Solutions Architect will guide technical architecture decisions, win technical evaluations, and provide feedback to product and engineering teams. The role requires deep technical proficiency in building and scaling AI products, with hands-on experience in LLM application development, evaluation frameworks, and modern AI architectures. | Agent | 8 |
| Research Engineer, Data Ingestion Research Engineer role focused on building and scaling a large-scale web crawler for data ingestion, with a focus on data quality evaluation and improvement to support the creation of pretrained models. | Data | 8 |
| Technical Deployment Lead This role leads the technical delivery of custom AI agent solutions for enterprise customers in regulated industries. The Technical Deployment Lead will own engagements end-to-end, from SOW to production deployment, working with Forward Deployed Engineers to build solutions. Responsibilities include structuring SOWs, leading technical discovery, managing engineering execution, defining product scope, owning the customer relationship, measuring value and ROI, codifying reusable assets, navigating regulatory complexity, managing scope and change, running delivery operations, and traveling to customer sites. The role requires technical depth to hold architecture conversations and executive presence for C-suite briefings, with a focus on building a new function for scaling AI agent deployments. | Agent | 8 |
| Research Scientist, Life Sciences Research Scientist role focused on applying AI to life sciences, involving both wet-lab and computational components. The role aims to establish Anthropic as a leader in biology research by developing and improving AI model performance on scientific tasks, addressing complex reasoning, and translating biological domain knowledge into ML objectives. It requires experience in life sciences R&D and familiarity with ML development practices. | Post-train | 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 |
| Product Manager, Claude Code Product Manager for Anthropic's Claude Code product suite, focusing on shaping how developers interact with AI, defining roadmaps, translating AI advances into features, and building an ecosystem around developer tools. Requires a strong technical background, product management experience, and understanding of AI coding tools and industry trends. | 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, tackling distributed systems challenges across diverse AI accelerators and cloud platforms. | Serve | 8 |
| Senior Human-AI Collaboration Research Engineer, Education Labs This role focuses on building and shipping AI-powered features for skill development, acting as a technical lead on a research-driven team with a product mandate. The engineer will prototype new interaction paradigms, define technical direction, and collaborate with researchers and product teams to enhance human capabilities through AI. | ShipAgent | 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 |
| Research Engineer, Societal Impacts Research Engineer focused on building infrastructure for studying the societal impacts of AI systems, including economic, wellbeing, and educational effects, as well as socio-technical alignment and novel capability evaluation. The role involves designing and implementing scalable technical infrastructure for experiments, data pipelines, and monitoring systems, working closely with researchers and cross-functional partners to generate insights and advance AI safety. | AgentEval Gate | 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 |