Applied AI Engineer

Role Overview

Design and implement scalable infrastructure for custom AI evaluation systems, build tools and platforms for agentic workflows and alignment techniques, and develop data processing pipelines for evaluation datasets and feedback loops.

What You Will Do

Design and implement scalable infrastructure for custom AI evaluation systems, build tools and platforms for agentic workflows and alignment techniques, develop data processing pipelines for evaluation datasets and feedback loops, create APIs and interfaces for real-world agent deployment and monitoring, and optimize performance and cost of cloud-based ML workloads.

Why It Might Be a Fit

Strong experience building large-scale LLM-powered or agentic systems in production environments, strong research taste, especially in evaluation design, post-training methods, and model improvement workflows, desire to own problems end-to-end and deliver measurable outcomes, ability to work directly with customers, and obsession with detail, code quality, and clean, modular system design.

Requirements

• Strong experience building large-scale LLM-powered or agentic systems in production environments
• Strong research taste, especially in evaluation design, post-training methods, and model improvement workflows
• Desire to own problems end-to-end and deliver measurable outcomes
• Ability to work directly with customers
• Obsession with detail, code quality, and clean, modular system design
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Benefits

• Competitive salary
• Meaningful equity package
• Comprehensive medical benefits
• Generous PTO
• Flexible work arrangements
• Direct impact on company direction and technical decisions
• High ownership and the opportunity to make a career-defining impact