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AI Agent Engineering Intern

Build and improve agent workflows for real tasks using TypeScript/Python on top of OpenClawBot-oriented foundations.

Minimum BTech in AI / CSE / Data Science / IT or related branches.

Must-have skills

  • Prior hands-on experience in AI agent or automation workflows
  • Strong working knowledge of GitHub (branches, commits, pull requests, review basics)
  • TypeScript and/or Python coding confidence
  • Ability to reason about OpenClaw code behavior (control flow, tools, retries, execution lifecycle)
  • Clear written communication for debugging and evaluation notes

Good-to-have

  • Experience with LLM prompt orchestration and tool-calling patterns
  • Experience with evaluation loops, trace logging, and failure analysis
  • Exposure to API integrations and long-running task reliability patterns

Responsibilities

  • Develop agent task flows for production use-cases
  • Improve reliability, retry behavior, and observability of agent runs
  • Analyze failed executions and propose concrete fixes
  • Collaborate with product and engineering to prioritize high-impact automations

OpenClaw behavior screening

  • Share GitHub links to agent/automation or AI engineering projects
  • Complete a short OpenClaw behavior analysis exercise with improvement suggestions
  • Explain your approach to handling tool failures, retries, and guardrails

Candidates should be able to explain agent flow, tool-call behavior, failure handling, retries, and practical improvement strategies from code.

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