Weedmaps

AI Engineer

• Design, build and operate production AI agents, including an autonomous coding agent working from Jira and Slack
• Build the retrieval and context layer using embeddings, semantic search, knowledge-graph modeling, Snowflake semantic layer and internal documentation
• Extend the internal MCP server with reusable skills, tools and processes
• Help product teams integrate agents into their workflows
• Build offline test sets and online metrics to evaluate prompts, models and retrieval changes, and gate releases
• Reduce model cost and latency using routing, caching and structured outputs; track spend on AWS Bedrock
• Secure agents against prompt injection, memory poisoning and over-broad permissions
• Instrument agents with tracing and logging, diagnose failures, and participate in on-call
• Evaluate and adopt effective models and tools
• Write design documents, review code and mentor engineers on building with LLMs

Senior Software Engineer, AI Platform