Find your next AI Engineering role

Anthropic

Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

Anthropic

The Safeguards team is seeking engineers to build the Review Tooling team, which develops systems used by humans and AI to investigate potential harms and take enforcement actions across Anthropic's products and cloud platforms. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. You will also drive the scaling of review through automation, enabling AI to augment human capabilities while keeping human judgment central where it matters most. The speed, clarity, and reliability of this tooling are critical for identifying harmful behavior, making sound enforcement decisions, and feeding signal back into model training. You will collaborate closely with policy, operations, data science, legal, and privacy teams to ensure effective, accurate, and trustworthy enforcement systems.

Anthropic

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries by combining cutting-edge AI with hands-on biological research. We are seeking an exceptional Research Scientist to join this high-impact team, operating at the intersection of computational and experimental biology. This role offers a unique opportunity to shape how AI transforms biological research, working with leading AI researchers on problems that matter deeply for scientific understanding and biomedicine. You will have substantial access to Claude and will help establish how computational biology operates at Anthropic, guiding the development of transformative AI systems.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is seeking experienced full-stack engineers to join teams focused on current and emergent AI products. You will be a technical leader, taking end-to-end ownership of the user experience for products like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new model capabilities into user-facing features. You will own technical quality across the stack, including performance, accessibility, reliability, and developer experience, with the goal of scaling solutions to millions of global users. The teams are focused on various areas including developer tools, beneficial deployments for non-profits and educational institutions, vertical AI products for finance and life sciences, enterprise AI solutions, and public sector applications.

Anthropic

Anthropic is seeking a Commercial Counsel, GTM to join their legal team and play a key role in bringing cutting-edge AI technology to users, researchers, and enterprises globally. This position involves close collaboration with experienced colleagues, focusing on supporting Go-to-Market teams, managing enterprise agreements, and handling customer negotiations. The role also offers exposure to commercial work such as research collaborations, product partnerships, and procurement, as well as opportunities to engage with AI safety and research agreements, including threat-sharing frameworks and responsible AI development standards. This is an ideal opportunity for a motivated attorney to deepen their expertise in commercial transactions while contributing to responsible AI development.

Anthropic

Anthropic is seeking a talented and driven Workday Business Systems Analyst to join our People Systems team. This role will own the technical configuration, testing, and operational excellence of our Workday HRIS across Payroll, Absence, and Time Tracking (PATT) and Core Human Capital Management (HCM) domains. The ideal candidate is passionate about leveraging AI and internal tooling to enhance People Systems effectiveness, questioning traditional approaches to find innovative solutions. You will be a system expert, providing both strategic guidance and hands-on delivery in a fast-paced, high-growth environment, partnering with various departments to ensure the HRIS is secure, scalable, and a business enabler.

Anthropic

Anthropic is seeking a senior individual contributor to join its Finance Analytics & Business Intelligence team. This role will be responsible for defining how the company measures the value of its AI models and its market position. The work involves tackling open-ended, technical questions about model value per dollar and token, comparing performance against industry frontiers, and informing pricing and packaging decisions. The individual will act as an analytical lead, collaborating closely with Product Finance and Data Science teams to build robust measurement systems and provide data-driven insights.

Anthropic

Anthropic is seeking a seasoned Privacy Engineer to join its growing team and help scale privacy infrastructure within the AI landscape. This individual contributor role involves providing technical and cultural leadership, architecting privacy-preserving systems, and driving the implementation of cutting-edge privacy technologies across AI infrastructure. The position operates at the intersection of privacy engineering, AI safety, and distributed systems to address novel challenges in protecting user data at scale.

Anthropic

Anthropic is seeking a Safeguards Enforcement Analyst focused on Violence & Extremism to build and execute operational workflows for assessing AI model behavior, driving enforcement decisions, and developing evaluations across a range of policy areas. This role involves detecting and mitigating misuse of AI systems that could lead to real-world harm, including issues related to weapons, critical infrastructure, violent extremism, and threats of violence. Candidates should be aware that this position may involve exposure to explicit and disturbing content.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves end-to-end ownership of Claude on each platform, from API integration and request routing to inference execution and capacity management. The model & inference launch team specifically focuses on the validation pipeline for the inference server and load balancer, ensuring every inference change, including model launches and performance improvements, is deployed with correctness, performance, and reliability. This high-leverage infrastructure work is critical for fast and cost-effective deployment of frontier models and features, directly impacting compute capacity and the speed at which innovations reach production.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders dedicated to this mission. We are looking for a Security Engineering Manager to lead our Secure Frameworks Research team. This team develops high-leverage security frameworks and libraries that ensure secure model development and prevent vulnerabilities through thoughtful design. You will collaborate across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems, enabling teams to work securely without needing to be security experts.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. As a Research Engineer on the Alignment Science team in London, you will design and execute machine learning experiments to understand and steer the behavior of advanced AI systems. You will focus on AI safety, particularly risks from future human-level AI systems, collaborating with teams like Interpretability and Frontier Red Team. The role involves exploratory research in areas such as AI Control and Alignment Stress-testing, aiming to make AI helpful, honest, and harmless.

Anthropic

The Frontier Red Team (FRT) is a focused technical research team dedicated to making the world safer in the era of advanced AI. This role involves researching and ensuring safety with self-improving, highly autonomous AI systems, particularly those with cyberphysical capabilities. You will build the tools and frameworks needed to defend against advanced AI-enabled cyber threats, working at the intersection of AI capabilities research, cybersecurity, and policy. This applied research has real-world stakes, informing company decisions, shaping policy discourse, and building technical defenses for the future of AI.

Anthropic

The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability.

Anthropic

The Interpretability team at Anthropic is dedicated to reverse-engineering how trained language models work, believing that a deep mechanistic understanding is crucial for ensuring the safety of advanced AI systems. This role focuses on mechanistic interpretability, aiming to map neural network parameters to meaningful algorithms, akin to performing 'biology' or 'neuroscience' on neural networks. The team's work involves developing tools and methods to understand complex models, addressing challenges like 'superposition' and decomposing models into interpretable components. Collaborations with other Anthropic teams, such as Alignment Science and Societal Impacts, are integral to applying this research to enhance AI safety.

Anthropic

Anthropic is seeking an exceptional Research Scientist to join its Life Sciences team. This role focuses on making Claude a superhuman life sciences research assistant, operating at the intersection of machine learning, software engineering, and biology. You will directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member, you will translate deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows, helping establish Anthropic as a leader in AI-accelerated biology and shaping how frontier models reason about computational biology tasks. This is a unique opportunity to shape how frontier AI models learn biology, working alongside top AI researchers on problems crucial for human health and scientific understanding.

Anthropic

As an Applied AI team member, you will serve as a Pre-Sales architect, becoming a trusted technical advisor to large enterprises across India and the Asia-Pacific region. Your role will involve helping these organizations understand the value of Claude and envision how to successfully integrate and deploy it into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evaluations, and design scalable architectures.

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for society. As a Research Engineer on the Discovery Team, you will work end-to-end to identify and address key blockers on the path to scientific Artificial General Intelligence (AGI). This role involves improving models' abilities to use computers, acting as a laboratory for long-horizon tasks and a crucial component for scientific workflows. You will collaborate with a team of researchers and engineers focused on pushing the scientific frontier.

Anthropic

Anthropic is seeking candidates for its Fellows Program, designed to cultivate AI research and engineering talent. This program provides funding and mentorship to promising individuals, irrespective of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions, with a strong track record of fellows achieving this in previous cohorts. The program offers a 4-month full-time research period, direct mentorship from Anthropic researchers, access to a shared workspace in Berkeley or London, and connections to the AI safety and security research community. Applications are reviewed on a rolling basis for cohorts starting in July 2026 and beyond.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI Safety. This program aims to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will engage in empirical projects using external infrastructure and open-source models, with the goal of producing public outputs like research papers. The program offers a structured 4-month full-time research period, direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and connections to the AI safety community. The program is designed to encourage diverse perspectives and applications, even from those who may not meet every single qualification.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for the Anthropic Fellows Program, focusing on AI Security. This program is designed to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will work on empirical projects using external infrastructure, aiming to produce public outputs like research papers. The program offers a structured 4-month full-time research period with direct mentorship from Anthropic researchers, access to a shared workspace in Berkeley or London, and connections to the AI safety and security research community.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering to ensure AI systems are reliable, interpretable, and steerable. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions, contributing to the development of safe and beneficial AI for society. Fellows will engage in full-time research for four months, with direct mentorship from Anthropic researchers and access to a shared workspace in either Berkeley, California, or London, UK. The program also offers connections to the broader AI safety and security research community.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as research papers, contributing to the development of reliable, interpretable, and steerable AI systems that are safe and beneficial for society. Fellows will engage in full-time research for four months, with opportunities for extension, and will be mentored by Anthropic researchers.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, designed to foster AI research and engineering talent. The program provides funding and mentorship to promising technical individuals, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions. Fellows will primarily utilize external infrastructure like open-source models and public APIs. The program emphasizes AI safety and beneficial AI development for society.

$25k - $50k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on a new generation of Customer Success, where outcomes are primarily delivered through programs and automation, rather than 1:1 relationships. As a Success Programs Manager, you will own a portfolio of these programs, driving adoption and value at scale. You'll leverage AI, specifically Claude, to build automated journeys and agents, while also being skilled in running traditional engagements like webinars, onboarding cohorts, and communities. The goal is to design and ship programs that guide customers from activation to value realization, expansion, and renewal, treating each program as a compounding asset with measurable impact.

Anthropic

As a Full-Stack Software Engineer in Reinforcement Learning (RL), you will be instrumental in building the platforms, tools, and interfaces essential for environment creation, data collection, and training observability. Your work will directly impact the quality of data used to train Anthropic's next-generation AI models. You will own product surfaces from end-to-end, encompassing backend services, APIs, and web UIs used by researchers, external vendors, and data labelers. The role emphasizes shipping polished, reliable products quickly, even when faced with ambiguous, high-stakes problems. This team operates at a rapid pace, focusing on judgment and taste to meet researcher needs, iterating on data collection strategies to distill expert knowledge into models within short feedback loops.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Performance Engineer, you will identify and solve novel systems problems that arise from running machine learning (ML) algorithms at scale. You will develop systems to optimize the throughput and robustness of our largest distributed systems. This role requires a strong track record of solving large-scale systems problems and a desire to become an expert in ML.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role will manage the broad sourcing operations essential for Anthropic's global data center infrastructure, encompassing compute, networking, racks, mechanical components, cabling, and the associated supplier ecosystem. The successful candidate will ensure timely delivery of hardware to the correct sites under favorable terms, acting as the operational owner for these critical infrastructure elements.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders dedicated to this mission. We are seeking a Staff Software Engineer to lead technical direction at the intersection of engineering and research for the Claude Code team. In this role, you will collaborate with researchers and engineering leadership to define how we measure, understand, and enhance Claude's coding abilities. You will architect the systems, tooling, and evaluation infrastructure that accelerate our research progress and be responsible for technical decisions impacting the team and beyond. This senior individual contributor position is for someone with a proven track record of building and owning large-scale systems, ready to take on a technical leadership role by driving architecture, mentoring engineers, and influencing the future of Claude Code.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization. In this role, you will build and scale the critical infrastructure that powers our AI safety systems, working at the intersection of machine learning, large-scale distributed systems, and AI safety. You will develop the platforms and tools that enable our safeguards to operate reliably at scale and directly contribute to making AI systems more trustworthy and aligned with human values.

Anthropic

As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment.

Anthropic

Anthropic is making significant, sustained investment in compute infrastructure to support its AI safety mission. The company is seeking an Infrastructure Tax Lead to manage tax end-to-end across this portfolio. This role will be integrated with the Infrastructure team, involved from the initial deal flow, and will coordinate with various departments including Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives. The Infrastructure Tax Lead will be responsible for shaping deals from a tax perspective, leading incentive workstreams, and ensuring tax implications are accurately reflected in economic analyses and deal approvals.

Anthropic

Anthropic is seeking a Head of Consolidations & Intercompany to lead and expand its consolidation program and group-level intercompany framework. This is a hands-on, builder's role where you will design, document, codify, and scale processes, starting as a player-coach before building out a team. You will partner closely with the Head of Corporate Accounting on strategic direction and work across departments to ensure efficient and accurate financial operations as the company grows.

Anthropic

Anthropic is seeking an experienced Global Senior Equity Program Manager to oversee and manage the company's equity compensation strategy and operations across all global markets. This role is crucial for designing, implementing, and managing comprehensive equity programs aimed at attracting, retaining, and motivating top talent, while aligning with the company's mission to develop safe and beneficial AI systems. The position involves close collaboration with People, Legal, Finance, and Tax teams to ensure programs are competitive, compliant, and reflect the company's values. As Anthropic expands internationally, this role will be instrumental in building equity frameworks that support global growth and maintain consistency with the overall compensation philosophy, offering a unique opportunity to shape equity compensation practices during a significant growth phase.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Interpretability team focuses on mechanistic interpretability, aiming to reverse engineer how trained models work by discovering how neural network parameters map to meaningful algorithms. This role supports a team of expert researchers and engineers dedicated to understanding the internal workings of large language models at a deep, mechanistic level. The manager will play a critical role in ensuring the team meets its ambitious safety research goals by partnering with an individual contributor research lead to drive team success, translate research ideas into tangible goals, and oversee execution. Responsibilities include managing team execution, careers, performance, facilitating inter-team relationships, and driving the hiring pipeline.

Anthropic

Anthropic is seeking an Engineering Manager to lead their Review Tooling team, which is responsible for building systems that help humans and AI investigate potential harms and take enforcement actions across Anthropic's products. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. The manager will also drive the strategy for scaling review through automation, enabling Claude to extend human reviewer capabilities while keeping people in the loop for critical judgment. This position requires close collaboration with policy, operations, data science, and legal teams to ensure effective, accurate, and trustworthy enforcement systems.

Anthropic

Anthropic's Research Tools team builds systems that support large-scale, distributed finetuning runs and improve researcher productivity. As a manager, you will lead a team of machine learning and distributed systems experts to enhance the efficiency of these systems and tools, facilitate rapid iteration on model development and research, and continuously evolve the infrastructure to integrate new research advancements. This role is central to Anthropic's technical operations, requiring collaboration with research teams to integrate their innovations into the production finetuning pipeline, product teams for customer-oriented model improvements, and infrastructure teams to optimize training runs and data pipelines.