Role Overview
Develop cutting-edge Generative AI and Agentic AI solutions using LLMs, RAG, MCP, and agentic orchestration patterns.
Responsibilities
- Develop solutions using LLMs, MCPs, RAG, and agentic orchestration patterns.
- Work with Strands Agents, Skills, Claude models, and Amazon Bedrock.
- Design multi-agent architectures.
- Implement NER, relation extraction, and entity resolution capabilities.
- Design agentic workflows including tool use, MCP server implementation, and stateful agent orchestration.
- Build evaluation and trust-scoring mechanisms for hallucination detection, output consistency, and KPI accuracy.
Requirements
- Proficiency with LLMs, MCPs, and RAG.
- Experience with agentic orchestration patterns and multi-agent architectures.
- Knowledge of Claude models and Amazon Bedrock.
- Ability to implement NER, relation extraction, and entity resolution.
- Machine Learning Engineer Associate level skills.