About the Role\\nAnthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai.\\n\\nYou'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products.\\n\\nYou'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.\\n\\n## Responsibilities\\n### API Core\\nYou'll build and scale the foundation of the Claude API,the systems that deliver Claude's intelligence to every developer, from startups to enterprise.\\n\\nYou'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models.\\n\\nYou'll partner closely with inference and safeguards to optimise the full stack.\\n\\n### API Capabilities\\nYou'll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use.\\n\\nYou'll launch new models and ship the primitives that make Claude more capable with every release.\\n\\nYou'll partner directly with research and inference to productionise what's next.\\n\\n### API Knowledge\\nYou'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time.\\n\\nYou'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information.\\n\\nYou'll partner directly with research to bring state-of-the-art retrieval advancements to developers.\\n\\n### Developer Experience\\nYou’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease.\\n\\nYou’ll build the tools to accelerate developers from idea to deployment.\\n\\nYou'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.\\n\\n### API Agents\\nYou'll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API.\\n\\nYou'll help developers with agent orchestration through capabilities like tool use, multi-step reasoning, and long-running task execution that allow Claude to take actions and accomplish complex goals on behalf of users.\\n\\nYou'll partner with research to bring cutting-edge agent capabilities to production.\\n\\n### Enterprise Foundations\\nWe're looking for a software engineer to join our Enterprise Foundations team,the team that makes Claude enterprise-ready at scale.\\n\\nWhen a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.\\n\\nYou'll build the foundational systems that large organisations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure.\\n\\nThis work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organisations from adopting Claude broadly.\\n\\n## Requirements\\n\\n Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent\\n\\n Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations , and can reach into the frontend when needed to ship an effective solution\\n\\n Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer-facing products\\n\\n Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems\\n\\n Take a product-focused approach to your work and care about building solutions that are robust, scalable, and easy to use\\n\\n Care deeply about investing in the mentorship and growth of your peers\\n\\n Have experience with distributed systems, API design, and cloud infrastructure at scale\\n\\n Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward\\n\\n## Preferred Qualifications\\n\\n Served as a technical lead or architect on a product or API platform, owning both the technical vision and execution end-to-end\\n\\n Experience designing and scaling APIs with a focus on developer experience, consistency, and reliability , including API design review processes\\n\\n Deep experience building enterprise SaaS platforms, including permissions infrastructure, billing and pricing systems, or compliance frameworks for regulated industries (SO2, HIPAA)\\n\\n Background in a specific industry vertical , financial services, healthcare, or legal technology , with a track record of building products that handle sensitive, domain-specific data\\n\\n Experience partnering with ML/AI research teams to productise model capabilities or identify and address model failure modes in production\\n\\n Experience building agentic systems, orchestration frameworks, or developer tools , including CLI tools, IDE integrations, or AI-assisted coding environments\\n\\n Experience building products where adoption and activation are core challenges , instrumenting funnels, diagnosing drop-off, and shipping the product changes that close gaps\\n\\n Experience designing operational processes (incident response, on-call rotations, postmortem review) for production systems serving large-scale developer or enterprise audiences\\n\\n## Salary\\n\\nThe annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $405,000-$485,000 USD
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\nSupport and review system block diagrams, interface control documents, and schematics for compliance, redundancy, and accuracy against requirements and concept of operations. Lead Failure Modes & Effects Analysis efforts and collaborate with cross-functional Engineering teams to implement product improvements for Reliability.
\nPerform predictive reliability analysis to calculate probability of loss of control, loss of asset, and MTTF/MTBF utilizing Anduril requirements, specifications, and relevant industry standards (i.e. MIL-HDBK-217Plus). Develop Qualification Test plans to ensure appropriate requirements coverage, and work with Test Engineering to fixture, instrument, and execute test campaigns.
\nDevelop Maintainability prediction models using MIL-HDBK-472, and support the development of Preventative Maintenance & Sparing plans. Perform Weibull analysis utilizing data from Qualification campaigns and from fielded assets. Work with Quality and Manufacturing Engineering to ensure inspection and acceptance test gates are in place and documented against requirements.
\nUse data analysis techniques to highlight key problem areas for deployed products, and drive root cause analysis & corrective action implementation to closure. Develop and implement Reliability processes for the business to improve and streamline our Design, Manufacturing, and Deployment Operations efforts for rapid development.
\nSupport Development Milestone Reviews through identification of appropriate entry and exit criteria, and work with Quality Engineering to guide the hand off process to production.
\nRequired qualifications include a minimum of 5 years experience as a Reliability Engineer or Design/Development Engineer, a B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline, and experience with safety-critical hardware & software systems in the defense or aerospace industry.
\nPreferred qualifications include a M.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline, and experience with DO-254, DO-178, MIL-HDBK-217Plus, MIL-HDBK-472, ARP-4754.
\nThe salary range for this role is $146,000-$194,000 USD. Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver & wellness leave, family planning & parenting support, mental health resources, professional development, commuter benefits, and relocation assistance.
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\nAs a Reliability Engineer at Anduril, you will leverage your extensive knowledge of advanced Reliability tools and methodologies to drive excellence in our Reliability programs. You will support the Systems, Hardware, & Software Engineering teams across the product development lifecycle by guiding Failure Modes & Effects Analysis, predictive analysis, qualification test planning, field performance monitoring, and root cause & corrective action activities for your product(s).
\nThe right person for this role has knowledge of design and development with a reliability focus on unmanned aircraft systems, as well as exposure to test, analysis, manufacturing, and continuous improvement in a production environment. If you are someone who has hands-on experience throughout the new product development life cycle from concept to customer delivery, loves to build world-class Reliability processes, can work efficiently across multi-disciplinary teams, and be accountable for results, then this role is for you.
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\nRequired Qualifications:
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\nYou will work with responsible engineers who are designing → building → and delivering complex customer programs.
\nThe ideal candidate will leverage their experience to deliver highly complex, optimized, multi-disciplinary products and programs.
\nIf you are someone who loves to build world-class quality processes with suppliers, work hands-on with engineering, and be accountable for results, then this role is for you.
\nThis role will support our 2nd shift teams and expected to work 3PM-11:30PM.
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\nAssist in Defining and improving such requirements.
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\nEstablish metrics for measuring quality and the factors that predict quality performance.
\nDefine and improve required documentation and activities.
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\nDefine and improve such requirements.
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\nYour work will directly shape how our models understand and optimize for what humans actually want , enabling Claude to be more useful, more reliable, and better aligned with human values.
\nThis role focuses on pushing the frontier of reward modeling for large language models. You'll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking.
\nYou'll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.
\nWe're looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You'll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources.
\nYour work will directly advance the science of how we train AI systems to be both highly capable and safe.
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also:
\nThe annual compensation range for this role is $350,000-$500,000 USD.
\nLogistics:
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.
\nHow we're different:
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!
\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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\nAs the lead of the Quality function for Maritime's Dive-XL, you will work inside and outside the organisation to develop strategies, define and execute plans, and implement processes that deliver reliable products. The right person for this role has knowledge of manufacturing, product development, and continuous improvement. If you are someone who loves to build world-class Quality processes, develop teams, and be accountable for results, then this role is for you.
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\nRequirements: Bachelor's degree in Engineering or similar technical field, or equivalent work experience 8+ years of relevant experience working with OEM suppliers and manufacturing operations building complex hardware and software systems 5+ years experience working in a AS9100 regulated environment Experience managing and building a quality team Experience in engineering, manufacturing, or quality within the aerospace/defence, automotive, or medical device fields Proven record in strategy and execution of Quality Management Systems in a certified AS9100 enterprise Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Change Management, and Advanced Product Quality Planning (APQP) A strong ownership mindset with demonstrated capability to drive projects from start to finish Proven ability to track, prioritise and drive to success multiple concurrent projects with a strong operational background Hands-on leader. You're resourceful, forward-thinking, drawn to building from ambiguous and unsolved problems and have an 'own the outcome' mindset. Influence and partnering with a diverse group of stakeholders, able to partner with deeply technical as well as operational, business-minded leaders on key Quality and Manufacturing topics Eligible to obtain and maintain an active U.S. Secret security clearance
\nPreferred Qualifications: Master's degree in a technical field Experience as an auditor for AS9100 or other ISO 9001-based QMS standard (e.g., ISO 13485, IATF 16949) Experience with low volume manufacturing
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\nThe Technical Advisor Specialist (Part-Time Internship) role is a summer semester opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines.
\nThese Specialists will immerse themselves in real-world projects that push the boundaries of generative AI, gaining firsthand exposure to cutting-edge research and technology.
\nThroughout the program, you’ll have the freedom to work flexibly around your academic schedule, the chance to connect directly with AI experts, and the support of a team that values your contributions and professional growth.
\nWhat You'll Do
\nYou’ll gain exposure to state-of-the-art technologies and research, enhancing your technical expertise.
\nThis forum encourages deep exploration of topics and helps you develop critical thinking and communication skills.
\nBy working closely with peers, you’ll refine your teamwork, leadership, and problem-solving abilities.
\nThe environment is structured to accommodate your schedule without compromising the quality of your contributions.
\nWho Should Apply
\nWhy Join Us?
\nThese events provide opportunities for more personal interactions, fostering deeper connections and insights that complement your remote work.
\nAlumni networks and ongoing support keep doors open for future collaborations and career advancement.
\nNotes
\nOur policy requires a 90-day waiting period before reconsidering candidates for the same role.
\nThis allows us to ensure a fair and thorough evaluation of all applicants.
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\nQualifications:
\nPreferred Qualifications:
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\nWe believe the future of law will be built by 'AI-Native Law Firms' , firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work. Eve's technology augments the capabilities of attorneys across every stage of a case , from intake and document review to strategy and settlement , so they can focus on what truly matters: achieving the best outcomes for their clients.
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\nWhy This Role:
\nYou'll own the end-to-end integration experience for Eve's customers, from contract signed to integration live and usable. Eve integrates with multiple major case management platforms, each with its own API patterns, authentication models, deployment quirks, and edge cases. Some are cloud-native with clean REST APIs. Others are self-hosted on-prem systems behind firewalls that require weeks of configuration. Your job is to figure out the right integration path for each customer and drive it to completion. This is not a project management role, but it's not a pure engineering role either. You'll split your time between hands-on technical work (configuration, validation, debugging, scripting) and customer-facing delivery (implementation planning, expectation setting, vendor coordination, internal handoffs).
\nWhat You Will Accomplish:
\nOwn integration delivery for customers from post-sale through go-live: scoping the integration path, validating configuration (auth setup, tenant and environment validation, allowlisting, callback/redirect setup, granular permissions, document store configuration), testing in sandbox and live environments, and driving to completion Scope integration approaches for new CMS partners, prototype solutions, and deliver technical requirements to Engineering for productization Manage strategic vendor relationships: pressuring vendors for API access, proving whether issues are on their side or ours, identifying unsupported or undocumented API behavior, and negotiating workarounds when standard paths don’t exist Debug and resolve production integration issues by tracing through logs, isolating the layer (our side, vendor side, or customer config), and resolving or routing to Engineering with a clear diagnosis Build the assets required to scale integration delivery: implementation playbooks, vendor-specific setup guides, troubleshooting matrices, customer readiness checklists, known limitation documentation, escalation criteria, and handoff notes for the CS team Identify patterns across customer integrations and feed productization requirements back to Engineering, without duplicating the platform Engineering owns
\nWhat We Are Looking For:
\n3-5+ years building, configuring, and debugging production API integrations (REST APIs, pagination, rate limiting, retry logic) Experience owning implementation delivery end-to-end, not just building integrations but driving them to completion with customers Proficiency in Python or Node.js (Python preferred) for scripting, data transformation, and API orchestration Hands-on experience with OAuth 2.0, JWT, token refresh cycles, and permission/scoping troubleshooting Comfortable working with webhooks and debugging common failure modes (expiry, missed events, configuration drift) Experience mapping data across systems that represent the same concepts differently Strong communication skills for customer calls, vendor negotiations, and internal coordination Interest in legal technology and how law firms operate
\nYou’ll Thrive in This Role If You Have:
\nDirect experience with legal tech platforms (Clio, Filevine, SmartAdvocate, Litify) iPaaS or integration platform experience (Workato, Celigo, Mulesoft, Tray.io) A track record of creating implementation documentation, runbooks, or process guides that other teams use SQL familiarity and ability to reason about how integration data flows into a data warehouse On-prem and hybrid deployment experience with self-hosted systems, firewall rules, and VPNs Multi-tenant integration management across hundreds of customer accounts Experience building observability and alerting for integrations at scale
\nAdditional Information:
\nBenefits: Competitive Salary & Equity 401(k) Program with Employer Matching Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Autonomous Work Environment Office Setup Reimbursement Flexible Time Off (FTO) + Holidays Quarterly Team Gatherings
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