Applied AI Engineer

About the role

We're looking for an Applied AI Engineer to own the execution of our agentic AI roadmap end-to-end, from agent harness and tool design through to evals, reliability, and the interactive experiences our agent surfaces to users. You'll work directly with the CTO and founding team on a system that already runs in production, not a greenfield prototype and not a research exercise.

What you'll do

• Design and build agentic workflows on top of MIA's MCP server - tool definitions, complex reasoning and multi-step planning, context/session management
• Own the harness quality bar: work with frontier models (Gemini, Claude and others) to close the gap between "technically works" and "production-grade agent behavior"
• Build and maintain evaluation pipelines for agent quality. Accuracy, tool-call correctness, hallucination/fabrication detection
• Work with structured marketing data (BigQuery/Spanner-backed outputs and translate it into agent-consumable context and user facing narratives based on the user's persona
• Stay current on the agentic AI and MCP ecosystem and bring back what's actually usable, new protocol capabilities, orchestration patterns, eval techniques

What you need

• 3–6 yrs of experience
• Python
• BigQuery
• LLMs
• System design
• Regression testing
• Any graduate

Good to have

• Machine learning
• GCP
• Java