Staff AI Builder

📋 Description

• Design and build agentic workflows — reasoning loops, tool/function calling, and orchestration
• Build and maintain RAG pipelines: chunking strategy, embeddings, vector search (OpenSearch)
• Integrate with AWS Bedrock and Agent Core, including MCP-based tool design
• Write and iterate on production system prompts — structured role framing, output constraints, and
• Build eval and observability into every agent: golden datasets, RAGAS-style metrics, LLM-as-judge
• Design for LLM failure: retries with backoff and jitter, circuit breakers, fallback models

🎯 Requirements

• 6+ years of professional software engineering experience, including meaningful time shipping
• Hands-on depth in agentic AI: reasoning loops, tool/function calling, multi-agent orchestration
• Practical RAG expertise: chunking strategies, embeddings, vector databases (OpenSearch or similar)
• Experience building evaluation and observability for LLM systems: golden datasets, LLM-as-judge
• Strong prompt engineering skills — can write production system prompts with structure and
• Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB (single-table