Software Engineer, Platform

Reposted 6 Days Ago
2 Locations
In-Office
320K-405K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
The Software Engineer will build and scale platform components, collaborate with product teams, and set technical direction in a fast-paced AI role.
Summary Generated by Built In
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

We are looking for backend / platform software engineers to join our Product Foundations org. We build foundational primitives that help accelerate product development across Anthropic. Some examples of what we own and maintain are our core sampling pipeline, our rate limiting platform, and our RAG platform.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the platform efforts where they'll have the greatest impact and growth potential:

Billing Platform: We build and operate the billing infrastructure that powers all of Anthropic's products - enabling revenue collection across different pricing models, subscriptions, and multi-entity operations for global compliance. You'll work on distributed systems that need to be both fast and correct: real-time tracking, revenue reconciliation across payment providers, and ledger systems that ensure accuracy at scale. This is production-critical infrastructure where data consistency matters, and you'll collaborate closely with finance, product, and accounting teams to build the foundation that scales our business. If you've built billing platforms or payment systems, that will be a big plus.

Product Platform: We provide a set of stable, powerful, and easy to use shared product capabilities leveraged by the Claude.ai, API and other internal product and research teams. You’ll work on our core platform components like rate limiting, LLM sampling and multimodal processing. Our mandate includes developing reusable components, improving system performance, and creating scalable abstractions that accelerate product development across the organization while maintaining high standards for reliability and security.

Accounts Platform: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.

Responsibilities:
  • Build and scale platform components to handle Anthropic’s rapid growth
  • Design and architect platform components that are composable and deliver value for a variety of use cases
  • Collaborate closely with product teams to understand their needs and build platform capabilities that accelerate their feature delivery
  • Make build vs buy decisions, evaluating and implementing 3rd party solutions when most impactful
  • Set technical direction and vision for various product and platform features
  • Partner with research to quickly prototype and launch new capabilities based on research breakthroughs
You might be a good fit if you:
  • Have 6+ years of practical experience as a backend or platform engineer building scalable distributed systems 
  • Have strong coding skills and experience with service-oriented architectures
  • Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 
  • Take full ownership of your work, navigate ambiguity effectively, and proactively overcome obstacles to deliver results
  • Are comfortable diving into any part of the system, whether it's infrastructure, services, or product frontends, to deliver effective solutions
  • Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI
  • Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
  • Enjoy pair programming (we love to pair!)
  • Have a Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Strong candidates may also:
  • Have worked with NLP and ML models and understand their capabilities and limitations
  • Have experience with REST APIs
  • Have experience with React and Frontend frameworks

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:
$320,000$405,000 USD
Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-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.

Visa 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.

We 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We 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.

The 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.

Come work with us!

Anthropic 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Top Skills

Frontend Frameworks
Machine Learning
Nlp
React
Rest Apis
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The Company
HQ: San Francisco, California
57 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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