✦ Luna Orbit — AI & Machine Learning

Applied AI Engineer (Digital Natives Business)

at Anthropic

📍 San Francisco, CA | New York City, NY | Seattle, WA Hybrid Posted March 07, 2026
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Not specified
Category AI & Machine Learning

This role involves working directly with clients to deploy and optimize Large Language Models, focusing on prompt engineering, safety, and scalable AI architecture.

  • Collaborate with clients on LLM deployment
  • Develop prompt and evaluation frameworks
  • Ensure safety and reliability
  • Lead technical workshops
  • Contribute to scalable AI architecture

The technical environment includes LLMs, prompt engineering, agent development, safety and reliability frameworks, Python, and API deployment.

The ideal candidate is a mid-level AI engineer with 4+ years of experience working with Large Language Models, including prompt engineering and agent development. They excel in customer collaboration, technical advising, and deploying scalable AI solutions, with proficiency in Python and experience with Claude APIs.

4+ years of experience in technical roles such as Forward Deployed EngineerSoftware Engineer or Technical Product ManagerProduction experience with LLMs including advanced prompt engineeringagent developmentevaluation frameworksand deployment at scaleProficiency in Python or TypeScriptExperience working closely with customer product and engineering teams
Customer success managementArchitectural designTechnical workshopsWhite papers and blog writing
PythonLLMsClaude APIAPI integration
LLMsLarge Language ModelsPrompt engineeringEvaluation frameworksAgent developmentFrameworksArchitecture designSafety and reliabilityCustomer-facing skillsPythonAPI integrationDeployment at scale
LLMsLarge Language ModelsPrompt engineeringEvaluation frameworksAgent developmentFrameworksArchitecture designSafety and reliabilityCustomer-facing skillsPythonAPI integrationDeployment at scale
Customer collaborationTechnical advisingCommunicationProblem-solvingTeamwork
Industry Technology, SaaS, Cloud, AI/ML, Enterprise Software
Job Function Deploying and optimizing Large Language Models for enterprise clients
LLMsLarge Language ModelsPrompt engineeringEvaluation frameworksAgent developmentFrameworksArchitecture designSafety and reliabilityCustomer-facing skillsPythonAPI integrationDeployment at scale

Less than 4 years of relevant experience, No experience with LLMs or prompt engineering, Lack of Python or API integration skills

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