12+ years of software engineering experience, particularly at Staff/Principal level
Expertise in Python engineering
Experience with LLM applications and vector databases
Proficient in AI evaluations and model lifecycle management
Strong background in designing large-scale distributed systems
Hands-on experience with AI-assisted development tools
Proven ability to drive cross-team technical decisions and initiatives
Responsibilities
Define and own the architecture of the enterprise AI platform
Lead the development of RAG pipelines and AI orchestration frameworks
Build production-grade AI systems and proofs of concept
Establish AI quality, evaluation, and governance standards
Drive design decisions and create reusable tooling for the AI platform
Benefits
Remote work flexibility within the USA
Opportunity to lead cutting-edge AI initiatives
Engagement in high-impact, enterprise-scale projects
Collaboration with cross-functional teams
Professional growth in a rapidly evolving field
Full Job Description
Overview:
Principle Engineer AI
Remote in USA
Principal Al Engineer to lead the architecture, strategy, and technical evolution of enterprise scale Al platforms and GenAl powered product experiences.
Key Responsibilities
Define and own enterprise Al platform architecture
Lead development of RAG pipelines and Al orchestration frameworks
Build production grade Al systems and proofs of concept Establish Al quality, evaluation, and governance standards Drive Al platform design decisions and reusable tooling
Al evaluations, model lifecycle management, observability
Scalable GenAl systems and MtORS
Required Leadership Skills
12+ years of software engineering experience, with significant tenure at Staff/Principat level.
Drive cross team technical decisions, platform direction, and multi team initiatives (architecture alignment, trade off resolution, execution).
Define and scale Al driven SLC standards, including tools, guardrails, and automation patterns.
Hands on experience with Al assisted development (e.g., Copilot, Claude Code, Cursor) to deliver production systems; able to articulate workflow impact and guardrails.
Strong experience designing and evolving large scale distributed systems (APIs, data pipelines, event driven systems, high scale platforms).
Proven cross org leadership driving architecture, standards, and platform initiatives across multiple.
