AI ENgineer

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