About the company
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Responsibilities
- 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
- Partner with account executives to deeply understand customer product requirements and architect technical solutions
- Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API
- Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to Product and Engineering teams
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
Requirements
- 8+ years of experience in technical roles such as Customer Engineer, Forward Deployed Engineer or Software Engineer
- 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 engineering, evaluation frameworks, agent frameworks, and retrieval frameworks
- Ability to navigate ambiguity and execute across domains
- High cooperation mindset for cross-organizational collaboration
- Exceptional communication skills to convey technical concepts to diverse stakeholders
Conditions
- Location-based hybrid policy: all staff expected in one of our offices at least 25% of the time
- Visa sponsorship available
- Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience