Applied AI Engineer

As an Applied AI Engineer at Anthropic, you will guide customers from technical discovery through successful deployment of our AI models. You will combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with Large Language Models (LLMs) and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

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, ensuring alignment between business objectives and technical implementation
• 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 into customer products and workflows via our API
• Lead hands-on technical workshops and code reviews with customer engineering teams
• Identify common design patterns and contribute insights back to our 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:

• 4+ years of experience in a technical role such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers
• 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 with intellectual openness, finding simple solutions to complex problems
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
• Passion for advancing safe, beneficial AI systems through creative technical applications
• Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach