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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're at an inflection point where agentic AI is becoming capable enough to take meaningful action in the world—making the responsible development of these capabilities more critical than ever. Join our Product Frontiers team's Agent Capabilities group, where you'll build the foundational systems that enables agentic AI to integrate with real-world data and systems while maintaining Anthropic's unwavering commitment to safety. Your work will directly impact how AI systems interact with industries from healthcare to transportation, ensuring these powerful capabilities benefit society while minimizing risks.

As part of the Agent Capabilities team, you will prototype innovative integrations that enable our AI systems to understand, reason about, and act within complex real-world environments. You’ll help to create infrastructure where agents can be deployed, managed, and monitored. You'll work closely with our Applied AI field team, customers, and early access partners to validate new kinds of integrations that push the boundaries of what's possible with AI-powered agents.

Responsibilities:

Prototype new integrations with third-party systems that enables agentic AI to access and interact with diverse data sources and services
Design and implement novel approaches for bringing data and knowledge into AI systems, creating richer and more contextual AI experiences
Develop new ways for AI systems to take meaningful action in the real world reliably and safely with appropriate human involvement
Partner with our Research organization to leverage new model capabilities and provide feedback on how models perform with novel integrations
Collaborate with our Applied AI field team, customers, and early access partners to validate and refine new integration approaches
Work closely with product development teams to transition successful prototypes into core products or partner with product management to launch entirely new products
Ensure seamless integration across systems while aligning with broader product and organizational strategies

You might be a good fit if you:

Have 6+ years of software engineering experience with a focus on building integrations, APIs, or data infrastructure
Are passionate about the potential of AI agents and eager to tackle cutting-edge challenges in human-machine collaboration
Have experience building and deploying AI agents or similar automated systems
Possess strong practical coding skills (Python, Typescript, Go) and experience with event-driven architectures and real-time data processing
Take a user-centric approach to development, prioritizing solutions that are robust, scalable, and intuitive
Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and customers
Have experience across a range of industries and company sizes, from startups to large enterprises

Strong candidates may also:

Have experience building new data and communications infrastructure
Have worked with multiple modalities of user experiences and integrations (web, mobile, APIs, webhooks, etc.)
Have experience with event-driven system development and real-time streaming data architectures
Have worked in industries such as education, finance, healthcare, transportation, government, or energy
Have experience doing software development or integration at companies that don't primarily create software
Have experience with containerization, cloud platforms, and DevOps practices
Have familiarity with AI/ML systems and understand their capabilities and limitations
Possess a vision for the future of AI agents and a drive to make that vision a reality

Candidates need not have:

100% of the skills needed to perform the job
Formal certifications or education credentials
Prior experience at AI companies

If you're excited by the prospect of shaping how AI agents interact with the world and creating groundbreaking integrations that empower people and organizations across industries, we'd love to hear from you. Join us on our mission to build AI systems that are helpful, harmless, and honest while pushing the boundaries of what artificial intelligence can achieve.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:$320,000—$485,000 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.