Founding AI Engineer (Remote Worldwide)

Job summary

Build and improve the matching engine using machine learning models and embeddings, and design and maintain data pipelines for model training and product features. Ship LLM-powered product features, own model evaluation and monitoring, and work with the founders to identify high-impact AI opportunities.

Job details

Looking for an AI engineer who can own the full stack from raw data to shipped models. Someone who is strong across ML, data infrastructure, and LLM-powered features, and knows how to move fast without cutting corners on reliability. What you'll do Build and improve the matching engine using ML models and embeddings Design and maintain data pipelines that feed model training and product features Ship LLM-powered features into the product using frontier models Own evals and monitoring so models don't silently degrade Work directly with founders to identify the highest-leverage AI bets You Proven track record across ML, data engineering, or AI systems in production Experience with LLM APIs, embeddings, RAG, or agentic patterns Comfortable owning data pipelines alongside modeling work Startup or founding team experience preferred Compensation and Benefits Compensation: $128k to $150k per year + equity Fully remote and async, work from anywhere on your own schedule The same salary regardless of where you live No micromanagement, no unnecessary calls Real flexibility, take time for life stuff without asking for approval Work in your own flow, pajamas welcome 30 paid OOO days per year, anywhere in the world A people-first culture that's stable, family-friendly, and kind Calm, low-distraction culture to do your best work Interview Proccess Quick chat with founder > 1h technical interview > Offer

What you’ll do

Build and improve the matching engine using machine learning models and embeddings, and design and maintain data pipelines for model training and product features. Ship LLM-powered product features, own model evaluation and monitoring, and work with the founders to identify high-impact AI opportunities.

Requirements

Candidates should have a proven track record in production machine learning, data engineering, or AI systems, with experience using LLM APIs, embeddings, RAG, or agentic patterns. They should be comfortable owning data pipelines as well as modeling work; startup or founding-team experience is preferred.

Benefits

• Equity
• Fully Remote Work
• Flexible Schedule
• 30 Paid Days Off
• Family-Friendly Culture

Listed skills

• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Data Engineering
• Artificial Intelligence
• Data Pipelines
• Machine Learning Models
• Embeddings
• Large Language Models
• LLM APIs
• Retrieval-Augmented Generation
• Agentic Patterns
• Model Evaluation
• Model Monitoring
• Production AI Systems
• Matching Engines

Job areas

• Technology
• Software
• Data & Analytics
• Engineering

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