Applied AI, Research Engineer

About the Role

As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need.

In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical-to-GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready.

Responsibilities

• Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
• Own the technical-to-GTM handshake for model and product launches—early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
• Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
• Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement
• Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, and package learnings into scalable approaches for the broader field
• Synthesize insights from across customer engagements and work with Product and Research to land them, identifying adoption patterns, common blockers, and capability gaps
• Partner with Sales and Applied AI teams to support high-value accounts needing specialized domain knowledge
• Travel occasionally to customer sites for workshops, implementation support, and research collaboration

Qualifications

• 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role—ideally with exposure to customers or end users
• A track record of going deep on technical problems and translating learnings into materials, training, or tools that help others succeed
• Strong technical aptitude with proficiency in at least one programming language
• Meaningful experience building with large language models—whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
• Experience designing evals, building prototypes, or developing technical enablement for complex products
• Ability to quickly build domain expertise in new product areas and become a credible technical voice
• Curiosity about AI model capabilities and exploring unlocked use cases
• Excellent communication and interpersonal skills to convey complex topics to diverse stakeholders, including executives
• Ability to navigate ambiguity and flex into different domains based on business problems
• Bachelor's degree or an equivalent combination of education, training, and/or experience in a relevant field