TL;DR
Applied AI Engineer (AI): Building and optimizing technical advisory for customers adopting Claude, with an accent on architecture design, evaluation frameworks, and cutting-edge LLM implementation patterns. Focus on guiding customers from technical discovery through successful deployment and addressing complex business challenges with AI while maintaining safety and reliability.
Location: Hybrid, based in Tokyo, Japan. Expected to be in the office at least 25% of the time. Visa sponsorship is available.
Company
Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems for the benefit of society.
What you will do
- Serve as a technical advisor to customers deploying new products and workflows with Anthropic models.
- Partner with account executives to understand customer requirements and architect technical solutions.
- Guide technical architecture decisions and help customers build state-of-the-art LLM products via API.
- Develop customized pilots, prototypes, and evaluation suites for customer deployment.
- Lead hands-on technical workshops and code reviews with customer engineering teams.
- Identify common design patterns and contribute insights to Product and Engineering teams.
Requirements
- 4+ years of experience in a technical role such as Customer Engineer, Forward Deployed Engineer, Software Engineer, or Technical Product Manager with customer-facing desire.
- Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills with proficiency in Python and experience building production applications.
- Expertise working with common LLM implementation patterns, prompt, agent, and retrieval frameworks.
- Ability to navigate ambiguity and execute across domains with intellectual openness.
- High cooperation mindset for cross-organizational collaboration and balancing priorities.
Culture & Benefits
- Work as a single cohesive team on large-scale, high-impact AI research efforts.
- Value advancing long-term goals of steerable, trustworthy AI through empirical science.
- Competitive compensation and benefits, with optional equity donation matching.
- Generous vacation and parental leave, along with flexible working hours.
- Collaborative group with frequent research discussions.
- Opportunity to contribute to advancing safe, beneficial AI systems through creative technical applications.
