Anthropic

Applied AI Engineer, Beneficial Deployments

Anthropic

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about 1 month ago
New York, NY, USA or San Francisco, CA, USA
Mid Level / Senior
H1B Sponsor

Base Salary

$280k - $300k/yr

Responsibilities

  • Partner with account executives to understand requirements from mission-driven organizations and architect technical solutions.
  • Serve as the primary technical advisor to deployment partners throughout their Claude adoption journey.
  • Design and develop proof-of-concept applications and prototypes for specific use cases.
  • Create and deliver technical content for impact-focused audiences through events.
  • Build demos showcasing practical integration strategies for societal challenges.
  • Guide technical architecture decisions and help partners build advanced systems with LLMs.
  • Help organizations develop evaluation frameworks to measure Claude's performance.
  • Lead hands-on technical workshops and code reviews with engineering teams.
  • Identify common integration patterns and contribute insights to Product and Engineering teams.
  • Foster community engagement through technical office hours and impact-focused events.
  • Maintain knowledge of the latest developments in LLM capabilities and applications.

Requirements

  • 2+ years of experience in technical customer-facing roles.
  • Experience working with mission-driven customers like educational institutions and nonprofits.
  • Strong programming skills in Python and experience building production applications.
  • Expertise in LLM implementation patterns and evaluation frameworks.
  • Proven ability to develop technical prototypes and demos for social impact.
  • Exceptional relationship-building and communication skills with diverse stakeholders.
  • Strong technical communication skills for creating scalable content.
  • A passion for using technology to create positive societal impact.
  • Excitement for cross-organizational collaboration in a high-velocity environment.
  • Creativity in using technology safely and beneficially.

Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • Collaborative office space.

Tech Stack

Python

Categories

AI & MLData Science