ESSENTIAL SKILLS:

• Proven experience in building autonomous AI agents using frameworks like Lang Chain 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.
• Proficient in Python, API integration, and working with vector databases (e.g., FAISS, Pinecone).
• Solid understanding of LLM behavior, RAG architecture, and deploying AI solutions on AWS cloud.

REQUIRED SKILLS

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ROLE DESCRIPTION:

• Agent Development Design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task execution
• Use frameworks and tools such as Lang Chain, Semantic Kernel, or custom orchestration layers to create multi-step, multi-tool agents.
• Prompt Engineering
• Craft and optimize high-quality prompts to improve the reliability and effectiveness of generative AI outputs.
• Develop prompt chains, system prompts, and context strategies for dynamic agent behavior.
• Continuously test and iterate prompts based on use case feedback and model performance.
• Amazon Bedrock Development
• Build and deploy generative AI solutions using Amazon Bedrock with models from providers like Anthropic (Claude), Cohere, Stability AI, and Amazon Titan.
• Use Bedrock features such as Guardrails, Knowledge Bases, and model customization to enhance AI agent safety and capabilities.
  Competencies: Digital : Amazon Web Service(AWS) Cloud Computing, Digital : Artificial Intelligence(AI)