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