Software Engineer

We’re looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most-nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally.

This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you’ll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity’s most pressing challenges.

Core Responsibilities:

• Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets
• Understand the needs of underserved communities and translate them into scalable technical and product solutions
• Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations
• Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers
• Develop multilingual and accessibility capabilities across platforms
• Build systems to measure and demonstrate social impact at scale
• Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities
• Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts

• Have 6+ years of practical experience as a full-stack software engineer
• Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations
• Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations
• Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs
• Care deeply about using technology for social good and want your engineering work to have meaningful impact
• Have excellent collaboration skills and can work effectively with product, partnerships, and field teams

Strong candidates may also:

• Experience with international markets, multilingual products, or accessibility features
• Background in nonprofit technology, social impact startups, or mission-driven organizations
• Experience with AI/ML products and LLM applications
• Familiarity with building products for resource-constrained environments or emerging markets
• Understanding of compliance requirements in regulated sectors
• Startup experience, particularly in scaling products from zero to one, Minimum education: Bachelor’s 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.

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, 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.

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., 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.