Staff+ Software Engineer, Backend

About Anthropic

Anthropics 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:

Anthropic is looking for experienced product-minded engineers to own the backend systems that power user experiences across our API Claude Code and . Youll independently scope complex multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; youll drive alignment with product peer engineering teams and research to identify capability gaps and translate frontier model improvements into shipped products. Youll 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.

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 backend product efforts where theyll have the greatest impact and growth potential:

API Core: Youll build and scale the foundation of the Claude APIthe systems that deliver Claudes intelligence to every developer from startups to enterprise. Youll own the performance reliability and efficiency of our core serving path ensuring users get the most speed and value from our models. Youll partner closely with inference and safeguards to optimize the full stack.

API Capabilities: Youll bring frontier model capabilities to developers through the Claude API owning core features like vision tool use and computer use. Youll launch new models and ship the primitives that make Claude more capable with every release. Youll partner directly with research and inference to productionize whats next.

API Knowledge: Youll 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. Youll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. Youll partner directly with research to bring state-of-the-art retrieval advancements to developers.

Developer Experience: Youll 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. Youll build the tools to accelerate developers from idea to deployment. Youll help figure out how to leverage Claude to improve developers usage of the API such as generating and evaluating prompts while collaborating closely with the teams above to bring Claudes current and future capabilities to developers.

API Agents:Youll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API. Youll 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. Youll partner with research to bring cutting-edge agent capabilities to production.

Enterprise Foundations: Were looking for a software engineer to join our Enterprise Foundations teamthe team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100000 employees were the team that makes it build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management security and compliance features and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.

Passport: Were building the identity and verification product layer that enables safe model launches as Claudes capabilities expand. This critical effort partners with Safeguards Auth & Identity Policy and Product teams across API and third-party platforms as customers creating the systems for KYC/KYB trust grant issuance and inheritance and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust compliance and product velocity delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.

You Might Be a Good Fit If You:

• 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
• 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
• Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products
• 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
• Take a product-focused approach to your work work and care about building solutions that are robust scalable and easy to use
  Care deeply about investing in the mentorship and growth of your peers
• Have experience with distributed systems API design and cloud infrastructure at scale
• Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward

Logistics

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process