Principal AI Engineer (Platform team)

11 days ago

Remote, WorldwideStaff+

Responsibilities

Own the architecture and evolution of data extraction, loading, and pipeline systems serving 500+ integrations.
Identify architectural bottlenecks and drive performance and reliability improvements across distributed infrastructure.
Lead modernization of the LES, DSAS, and ULS legacy systems into scalable AI-native infrastructure.
Design and implement agentic development frameworks for codebase maintenance and continuous improvement, including validation, testing, acceptance, and rollout.
Document technical decisions and establish standards for code quality, system reliability, and performance.
Write code, review architecture, and mentor engineers on AI-assisted development practices.
Collaborate with product and AI teams on agentic framework rollout and new integration capabilities.

7+ years of hands-on backend engineering experience, including at least 2 years in a principal- or architect-level role owning production systems.
Experience designing and scaling complex production systems.
Hands-on experience with AI-assisted development, Claude Code, agentic coding, and agentic frameworks for code maintenance and rollout.
Strong distributed systems experience with Kubernetes, workflow orchestration such as Temporal, and message queues such as RabbitMQ.
Experience building secure, resilient systems.
Experience with observability, alerting, and incident response at scale.
Solid SQL and query optimization experience across PostgreSQL and ClickHouse.
Ability to work within the EST timezone and fluency in English.
Preferred qualifications include defining engineering standards and driving team adoption, migrating legacy pipeline systems, and experience with data integration or ETL infrastructure.