About The Position

Applaudo is hiring an AI Engineer for its Claude Readiness Program to work alongside a client’s engineering teams as they adopt Claude apps, Claude Code, Claude Cowork, and the Claude API. The engineer will apply production experience with Anthropic’s Claude tools to provide technical guidance, training, and support that helps engineers use these tools in their real work. The role includes delivering technical deep dives, answering questions through a shared support channel, hosting office hours, assessing participant readiness, reviewing learning materials, and maintaining a shared knowledge base. The position is offered under a two-month contractor framework, with the possibility of extension.

Requirements

  • Hands-on production experience building systems with the Claude API and Claude Code, beyond demos or proofs of concept.
  • Working knowledge of MCP (Model Context Protocol) and agent patterns, including tools and subagents.
  • Ability to read and debug production-style code in Java or React.
  • Hands-on experience with Amazon Bedrock or Google Cloud Vertex AI.
  • Advanced English fluency for live technical sessions and written support with US-based teams.
  • Clear written and asynchronous communication skills.
  • Dependable turnaround and ownership of response times in a live support channel.
  • Ability to explain complex technical concepts to engineers at different experience levels.
  • A bachelor’s degree in Computer Science, Software Engineering, or a related field is desired, or equivalent professional experience.

Nice To Haves

  • Current Anthropic Claude certification or an AWS or Google Cloud certification.
  • Hands-on experience with both Amazon Bedrock and Google Cloud Vertex AI.
  • Prompt design and evaluation experience.
  • Experience loading content into an LMS, ideally a custom LMS, with knowledge of SCORM or xAPI.
  • Experience working with synthetic or sensitive data under real security rules.

Responsibilities

  • Design and run four technical deep-dive sessions on Claude, Claude Code, the Claude API, MCP, and agents, based on the client’s real work.
  • Answer engineers’ technical questions in the shared question-and-answer channel within the same or next business day.
  • Host weekly office hours for live walkthroughs and hands-on help.
  • Score the hands-on readiness assessment against the rubric and feed results into each participant’s remediation plan.
  • Review learning paths and the assessment to ensure they match engineers’ day-to-day tasks.
  • Document answers, code snippets, and session recordings in the shared knowledge base.
  • Provide direct, useful feedback on code and technical assessments.
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