Artificial Intelligence Engineer

Job Description

Role Overview

We’re hiring an early AI engineer to build systems that make high-stakes decisions, learn from real-world outcomes, and improve continuously.

The product is already live with strong data flow and user activity. Your job is to build the intelligence layer on top — turning that data into systems that get better over time.

You’ll own AI end-to-end: defining what to build, designing learning systems, and shipping production code. No predefined roadmap — you’ll work directly with the founder to shape the direction.

Focus Areas

• Closed-loop learning systems (RL, recommendation, ranking)
• Autonomous agents and workflow automation
• Model infrastructure, inference, and data pipelines

What You’ll Do

• Build systems where decisions → outcomes → automatic improvement
• Develop recommendation / decisioning systems that learn from real-world feedback
• Design evaluation frameworks and simulations
• Fine-tune and deploy models using proprietary data
• Build agents that automate complex workflows
• Own everything from data → model → production

Requirements

• Proven experience building closed-loop systems in production (non-negotiable)
• Background in RL, recommendation systems, or adaptive learning systems
• Strong end-to-end ownership (data, models, deployment)
• Proficient in Python + modern AI stack (LLMs, embeddings, etc.)
• Comfortable in fast-moving, ambiguous environments

Ideal Background

• Built AI systems that improved from real user or system feedback
• Early-stage or product-focused experience
• Experience with sequential decision-making (e.g., marketplaces, robotics, optimization)