Description

Design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task execution.

Responsibilities

  • Build and deploy generative AI solutions using Amazon Bedrock with models from providers like Anthropic (Claude), Cohere, Stability AI, and Amazon Titan.
  • Create multi-step, multi-tool agents using frameworks such as LangChain, Semantic Kernel, or custom orchestration layers.
  • Craft and optimize high-quality prompts, developing prompt chains and context strategies to improve generative AI reliability.
  • Integrate Bedrock features like Guardrails and Knowledge Bases to enhance AI agent safety and capabilities.
  • Continuously test and iterate prompts based on use case feedback and model performance.

Required Skills

  • 10+ years of proven experience building autonomous AI agents using LangChain or Semantic Kernel.
  • Strong prompt engineering skills, including prompt design, chaining, and optimization for LLMs.
  • Hands-on expertise with Amazon Bedrock, including model integration, Guardrails, and Knowledge Bases.
  • Proficiency in Python and API integration.
  • Experience working with vector databases such as FAISS or Pinecone.
  • Solid understanding of LLM behavior and RAG architecture.
  • Experience deploying AI solutions on AWS cloud.

Key Skills
Education

Any Graduate

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