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Applied AI Engineer at Anthropic | Enterprise Technology
The Briefed
5 hours ago
Full-time
On-site
San Francisco, California, United States
As an Applied AI Engineer on Anthropic’s Applied AI team, you will become a trusted technical advisor to Enterprise Technology companies adopting the Claude API in their core products. You will work with customer product and engineering teams as they ship products powered by Claude, advising on architecture, developing evaluation frameworks, and guiding them through cutting‑edge LLM implementation patterns. Working with Sales, Product, and Engineering, you will guide a focused portfolio of customers from technical discovery through successful deployment.
Key Responsibilities
Advise customers as they deploy new products and workflows with Claude, from discovery through deployment, coordinating across internal teams
Partner with account executives and Applied AI Architects to translate business requirements into technical solutions
Influence architecture decisions and product strategy through customized pilots, prototypes, and evaluation suites
Lead hands‑on technical workshops and code reviews with customer engineering teams
Identify common design patterns and share insights with Product and Engineering teams
Create scalable public and internal assets on LLM prompting, evals, agentic systems, and architecture techniques
Stay current on LLM capabilities, implementation patterns, and AI product development stacks
Travel occasionally to customer sites for workshops, implementation support, and relationship building
Speak at conferences and write blog posts and white papers on AI topics
Requirements
4+ years in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager (former technical founders are encouraged to apply)
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
Strong programming skills in Python or TypeScript, with experience building production applications
Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role
Years of experience required will correlate with the internal job level for the position
Skills Technical Skills
Python or TypeScript
LLM prompt engineering and agent development
Evaluation frameworks and transcript analysis
MCP and large-scale deployment
Solution architecture and prototyping
Soft Skills
Exceptional communication with diverse stakeholders
Cross-organizational collaboration with a low-ego approach
Navigating ambiguity and finding simple solutions to complex problems
Passion for safe, beneficial AI
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Collaborative office space
#J-18808-Ljbffr
Key Responsibilities
Advise customers as they deploy new products and workflows with Claude, from discovery through deployment, coordinating across internal teams
Partner with account executives and Applied AI Architects to translate business requirements into technical solutions
Influence architecture decisions and product strategy through customized pilots, prototypes, and evaluation suites
Lead hands‑on technical workshops and code reviews with customer engineering teams
Identify common design patterns and share insights with Product and Engineering teams
Create scalable public and internal assets on LLM prompting, evals, agentic systems, and architecture techniques
Stay current on LLM capabilities, implementation patterns, and AI product development stacks
Travel occasionally to customer sites for workshops, implementation support, and relationship building
Speak at conferences and write blog posts and white papers on AI topics
Requirements
4+ years in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager (former technical founders are encouraged to apply)
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
Strong programming skills in Python or TypeScript, with experience building production applications
Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role
Years of experience required will correlate with the internal job level for the position
Skills Technical Skills
Python or TypeScript
LLM prompt engineering and agent development
Evaluation frameworks and transcript analysis
MCP and large-scale deployment
Solution architecture and prototyping
Soft Skills
Exceptional communication with diverse stakeholders
Cross-organizational collaboration with a low-ego approach
Navigating ambiguity and finding simple solutions to complex problems
Passion for safe, beneficial AI
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Collaborative office space
#J-18808-Ljbffr