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.