Principal Software Engineer, AI & Platform

New
United StatesFull-TimePrincipal
Salary not disclosed
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Job Details

Experience
10+ years
Required Skills
Cloud ComputingRuby on RailsCI/CDRESTful APIsData modelingDistributed Systems

Requirements

  • 10+ years of professional software engineering experience building and operating large-scale, production systems.
  • Expert-level experience with Ruby on Rails and strong proficiency in modern web architecture, distributed systems, APIs, cloud platforms (AWS, GCP, or Azure), and data modeling.
  • Proven track record of leading technical architecture decisions, mentoring engineers, and driving engineering excellence across teams.
  • Deep understanding of AI technologies, including LLMs, AI-assisted coding tools (e.g., Copilot, Claude, Codex), and AI-powered system design.
  • Experience with agent architectures, retrieval systems, tool-calling frameworks, evaluation methodologies, and AI system reliability concepts.
  • Strong product and business judgment with excellent communication skills and the ability to influence both technical and non-technical stakeholders.

Responsibilities

  • Define and evolve system architecture standards across customer-facing and operational platforms, ensuring scalability, reliability, maintainability, and strong developer experience.
  • Lead the design of complex distributed systems, APIs, data models, workflows, and integrations that support both product and operational needs.
  • Drive the technical strategy for AI-enabled engineering, including the adoption of LLMs, agentic systems, and AI-assisted development workflows across the organization.
  • Establish engineering best practices for code quality, testing, observability, CI/CD, deployment safety, and incident response.
  • Evaluate emerging AI technologies and implement practical use cases that improve engineering velocity, automation, and operational efficiency.
  • Partner with cross-functional teams including Product, Operations, Growth, and Finance to translate business requirements into scalable technical solutions.
  • Mentor engineers and influence engineering culture through technical leadership, design reviews, and hands-on guidance.
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