Software Engineer, UI Platform

Anthropic•Apply•Published 9 months ago•First seen 1 days ago

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:

Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. The UI Platform team owns the foundational layer that makes all of this possible: the shared infrastructure, components, APIs, and tooling that let every other product team at Anthropic ship quickly, reliably, and with confidence.

As a Software Engineer on this team, you'll be hands-on building the platform that other engineers depend on every day. This means designing and shipping shared components and design-system-level abstractions, evolving the backend-for-frontend (BFF) APIs that power our client applications, and improving the build, deploy, and observability systems that keep Claude.ai running smoothly across surfaces. Your work will directly shape how fast teams across Anthropic can innovate—and how stable their experiences are when they do.

This is a great fit if you care deeply about developer experience and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make dozens of features possible.

Responsibilities:

Design and build shared UI components, libraries, and abstractions that product teams across Anthropic use to ship consistently and efficiently on web and mobile
Contribute to the BFF API layer that powers Claude.ai's client applications—thinking carefully about clean contracts, performance, and reliability at the boundary between frontend and backend
Improve developer velocity across the organization by reducing friction in our build, deploy, and testing pipelines
Work on performance and reliability: identify and resolve latency issues, improve observability, and help establish high standards that the rest of the platform team can build on
Partner closely with product engineering teams to understand their needs, unblock them when possible, and shape platform investments around where the most impact is
Help maintain and evolve documentation and tooling that make the platform approachable for engineers joining or building on top of it

You may be a good fit if you:

Have 5+ years of software engineering experience, with significant time spent building shared platforms, developer tools, or infrastructure that other engineers rely on
Have strong practical skills in modern web technologies (React, TypeScript, Next.js) and experience designing or consuming APIs that serve frontend applications
Care about developer experience and have a track record of building things that make other engineers more productive
Have solid instincts around reliability, observability, and performance—and enjoy operationalizing those instincts in production systems
Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners
Pick up slack, even if it goes outside your job description

Strong candidates may also have experience with:

Building shared component libraries or design systems for multiple surfaces (web, mobile, desktop)
BFF architectures and API patterns that balance flexibility with consistency across client platforms
Performance optimization and latency reduction in consumer-facing applications
CI/CD, build systems, and deployment automation
Observability and monitoring (metrics, logging, tracing)
Working on AI/ML products or in rapidly evolving product environments

Candidates need not have:

100% of the skills needed to perform the job
Formal certifications or education credentials

The 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.

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.

Your 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.

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