About The Position

The AI Engineer will design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task execution. The role uses frameworks and tools such as LangChain, Semantic Kernel, or custom orchestration layers to create multi-step, multi-tool agents. Responsibilities also include crafting and optimizing prompts to improve the reliability and effectiveness of generative AI outputs, and using Amazon Bedrock features such as Guardrails, Knowledge Bases, and model customization to enhance agent safety and capabilities. The posting mentions a GenAI/agentic AI use case leveraging Amazon Q for business and the upcoming Amazon QuikSuite as a platform. The position is onsite in Malvern, Pennsylvania, with relocation indicated as available, for a stated duration of six months.

Requirements

  • Proven experience building autonomous AI agents using frameworks such as LangChain or Semantic Kernel.
  • Strong prompt engineering skills, including prompt design, chaining, and optimization for large language models.
  • Hands-on expertise with Amazon Bedrock, including model integration, Guardrails, and Knowledge Bases.

Nice To Haves

  • Python
  • Amazon Web Services (AWS) cloud computing
  • PySpark

Responsibilities

  • Design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task execution.
  • Use LangChain, Semantic Kernel, or custom orchestration layers to create multi-step, multi-tool agents.
  • Craft and optimize prompts to improve the reliability and effectiveness of generative AI outputs.
  • Use Amazon Bedrock features such as Guardrails, Knowledge Bases, and model customization to enhance AI agent safety and capabilities.
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