Founding AI Engineer

About This Role

This role involves building and scaling AI systems for an automated event planning platform, focusing on developing autonomous agents for communication, web scraping, and deep research. This founding engineer will optimize LLM performance, architect AI workflows from scratch, and use data to identify automation opportunities within event logistics.

Responsibilities

• Build and scale AI agents for automated communication (email/voice), web scraping, and deep research.
• Optimize performance and reduce hallucinations in LLM-powered features.
• Design and implement scalable AI architectures using modern LLM frameworks and tools from the ground up.
• Use real customer data to identify new automation opportunities and validate the efficacy of AI solutions.
• Create robust frameworks to measure, observe, and improve AI performance over time.
• Partner with product and operations teams to understand bottlenecks and ship AI features that solve real-world pain points.

Requirements

• Track record of building and deploying AI/LLM systems in a production environment
• Proficient in Python
• Proficient in modern frameworks such as LangChain or LlamaIndex
• Deep understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and techniques to ensure high accuracy
• Experience with AI agents, tool calling, and building autonomous systems
• Comfortable working across the stack and can ship features end-to-end

Qualifications

• Track record of building and deploying AI/LLM systems in a production environment

Nice to Have

• Experience building AI web agents or browser automation systems
• Experience with AI product development in a "zero-to-one" startup environment
• Familiarity with AI observability and evaluation tools
• Contributions to open-source AI projects or published research

Skills

* Required skills

Benefits