Applied AI Engineer - Remote

Overview

We’re a stealth-mode, AI-native startup reimagining how ecommerce brands connect with their customers across the entire commerce lifecycle, starting with revenue recovery. Our first product is a white-glove recovery tool that transforms customer drop-off into conversions, unlocking precision, personalization, and rich zero-party data that helps shape everything from marketing to product development.

We're backed by top-tier investors, operating with significant seed funding, and hiring our first wave of builders. We're now looking for an Applied AI Engineer to join our founding team and help architect and scale our agentic platform from 0-1. You’ll work at the heart of our AI stack, rapidly prototyping, evaluating, and deploying systems that sit at the heart of the customer experience.

In Short

• Lead end-to-end development of LLM-powered features.
• Architect and scale infrastructure for experimentation.
• Make decisions around context engineering for LLM performance.
• Analyze AI traces to identify behavioral patterns.
• Define success metrics for agent performance.
• Design and execute eval frameworks for agent performance.
• Partner with the CTO to shape technical strategy.
• Collaborate with product and engineering teams.
• Work with experts to translate knowledge into AI experiences.
• Stay on the frontier of LLM development.

Requirements

• Experience with applied AI stack, prompting, embeddings, vector DBs.
• Built and shipped LLM-powered features in production.
• Experience making decisions about data context for LLMs.
• Analytical skills for exploring trace data.
• Understanding of AI as part of a broader product system.
• Experience with evaluation methodologies.
• Ability to thrive in a startup environment.
• Strong communication and collaboration skills.
• Desire to work closely with the CTO.

Benefits

• Competitive salary + meaningful early-stage equity.
• Open to different leveling depending on experience.