Staff Engineer / 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 — writing tool Write and iterate on production system prompts — structured role framing, output constraints, and Build eval and observability into every agent you ship: golden datasets, RAGAS-style metrics Design for LLM failure, not just LLM success: retries with backoff and jitter, circuit breakers 🎯 Requirements 6+ years of professional software engineering experience, including meaningful time shipping Real, hands-on depth in agentic AI: reasoning loops, tool/function calling, multi-agent 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 — you can write a production system prompt with real structure and Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB (single-table