Senior Software Engineer – Applied AI

Role Overview

• Ship and debug code on a live, real-time voice pipeline
• Design control systems around LLMs
• Build and operate LLM evaluation and batch-analysis pipelines
• Own traditional ML workflows from data to scheduled production inference
• Trace production issues from a metric anomaly to root cause

Requirements

• 7+ years building and operating production backend systems
• Experience running distributed systems in the cloud
• Hands-on production experience with LLMs or generative AI
• Working fluency across the traditional machine learning lifecycle
• Disciplined in a regulated environment
• Real-time media or telephony experience
• Front-end / full-stack ability
• ML pipeline experience, vector search, or embeddings
• Fluency with AI coding assistants

Tech Stack

• Cloud
• Distributed Systems

Benefits

• Fluency across the traditional machine learning lifecycle
• Discipline in a regulated environment
• Strong general-purpose programming skills