Role responsibilities
Design and implement the core agent orchestration system and context architecture to power automated dashboards and reports. Build evaluation frameworks to relentlessly improve the accuracy and reliability of AI agent outputs.
Requirements
Requires production experience building complex AI agent systems and a deep understanding of multiple LLM providers. Proficiency in TypeScript, Python, Next.js, and Supabase is necessary for full-stack implementation.
Key skills
AI Agent Orchestration, Prompt Engineering, Context Management, TypeScript, Python, Next.js, Supabase, LLM Evaluation, SQL Generation, Systems Architecture, Tool Use Patterns, Model Context Protocol, Data Engineering, BI Tooling, Full-Stack Development, Agentic Workflows
Keywords
AI Agents, LLM, Anthropic, OpenAI, Google, Supabase, TypeScript, Python, Next.js, SQL, Model Context Protocol, MCP, Agentic Systems, Prompt Engineering, Data Analytics, BI Tooling, Evaluation Frameworks, Context Architecture, Full-Stack, Software Development, Database Health Assessment, Root Cause Analysis, Tool Use, Orchestration, Data Engineering, Analytics Platform