Software Engineer, Verticals (Healthcare & Financial Services)

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 looking for experienced software engineers to join teams focused on automating vertical use cases using Claude, particularly in financial services and healthcare. The two teams currently hiring are:

• Financial Services: From data retrieval and analysis to predictive intelligence and institutional-quality report generation, we are creating AI experiences that meet the unique standards of the world's largest financial institutions, including investment banks, hedge funds, and asset managers.


• Healthcare: From clinical documentation and prior authorization to care coordination, quality reporting, and patient management, these AI experiences need to balance solving critical challenges for healthcare systems, physicians, and patients while ensuring accuracy and compliance requirements.

In both teams, you will work closely with research, product, design, and go-to-market teams to deliver products that drive adoption and retention of Claude.

Core Responsibilities

• Develop deep understanding of critical workflows in these verticals and build novel AI solutions to address the needs of our most important customers


• Design and build enterprise-grade products with high standards for security, reliability, and regulatory compliance


• Develop features that enable Claude to learn from workflow patterns, market feedback loops, and process transformation data unique to these verticals


• Work closely with research teams, including post-training, to ensure Claude is uniquely capable of enabling complex workflows in these areas

You Might Be a Good Fit If You Have:

• 8+ years of experience as a product-minded software engineer, with experience building financial services or healthcare software applications


• For Financial Services:
  
  
  
  • Experience with financial data providers, trading systems, or other capital markets technology platforms
  
  
  • Track record of building systems that handle sensitive financial data and complex analytical workflows
  
  
  • Experience with financial modeling, spreadsheet manipulation, or document generation systems
  
  


• For Healthcare:
  
  
  
  • Experience with clinical workflows or building products for handling health records and clinical documentation
  
  


• Strong communication skills and ability to work effectively across functions in a fast-moving environment

Strong Candidates May Also Have:

• Experience integrating and working with AI/ML models and understanding their capabilities, particularly for financial or healthcare use cases


• Startup experience, particularly in building products from zero to one

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

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