About this role
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h4><strong>As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting edge implementation patterns for LLMs.</strong></h4> <h4><strong>Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. </strong></h4> <h4><strong>Responsibilities:</strong></h4> <ul> <li>Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li> <li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li> <li>Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API</li> <li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li> <li>Lead hands-on technical workshops and code reviews with customer engineering teams</li> <li>Identify common design patterns and contribute insights back to our Product and Engineering teams </li> <li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li> <li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li> <li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li> </ul> <p><strong>You may be a good fit if you have: </strong></p> <ul> <li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li> <li><em>Production experience with LLMs</em> including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li> <li><em>Strong programming skills with proficiency in Python</em> and experience building production applications</li> <li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li> <li>Ability to navigate ambiguity and execute across domains with <em>intellectual openness</em>, finding simple solutions to complex problems</li> <li><em>High cooperation</em> mindset for cross-organizational collaboration, balancing competing priorities with <em>integrity</em></li> <li>Passion for advancing <em>safe, beneficial AI systems</em> through creative technical applications</li> <li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a <em>low ego</em> and collaborative approach</li> <li>Fluent in both Korean and English</li> </ul><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of expe