Senior Software Engineer – Applied AI

Role Overview

• Ship and debug code on a live, real-time voice pipeline
• Design control systems around LLMs: guardrails, budgets, watchdogs
• 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
• Strong general-purpose programming skills (primarily in Python)
• Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
• Hands-on production experience with LLMs or generative AI (any provider or framework)
• Working fluency across the traditional machine learning lifecycle
• Disciplined in a regulated environment

Tech Stack

• Cloud
• Distributed Systems
• Python

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Professional development opportunities