TL;DR

Lead Member of Technical Staff (AI): Building a next-generation conversational AI platform that transforms shopping into an intelligent conversation with an accent on operational excellence, resilience, and security at a global enterprise scale. Focus on integrating Large Language Models (LLMs) and Natural Language Understanding (NLU) to enhance the agent's intelligence, solve performance bottlenecks, and elevate engineering practices across Commerce Cloud.

Location: California - San Francisco, Washington - Seattle, Massachusetts - Burlington, Washington - Bellevue

Company

%hirify_global% is a company focused on building the next generation of conversational AI that transforms shopping.

What you will do

Champion the long-term technical strategy, ensuring the platform scales for the world's largest commerce sites and leverages AI/ML breakthroughs.
Research, evaluate, and integrate technologies like LLMs, NLU, and vector databases to enhance the agent's intelligence.
Tackle systemic performance bottlenecks and architectural deficiencies in distributed, fault-tolerant cloud-native systems.
Collaborate with cross-functional teams, mentor senior engineers, and raise the bar for engineering excellence.

Requirements

12+ years of experience, including 3+ years as a Principal Engineer (or equivalent) for large-scale production systems.
Deep mastery in designing and building highly scalable, cloud-native systems, including distributed and event-driven architectures.
Proficiency in a modern backend language (Java, Python, or Go) and experience managing large-scale data in SQL and NoSQL environments.
Experience building and deploying on public cloud platforms (AWS, Azure, or GCP).
Strong technical communication skills to articulate complex technical visions.

Nice to have

Prior experience in E-commerce, conversational AI, chatbot development, or large-scale search/recommendation systems.
Experience working with and deploying machine learning models, specifically involving NLP/NLU or Generative AI/LLMs.

Culture & Benefits

Opportunity to define operational excellence, resilience, and security for global enterprise-scale systems.
Work on cutting-edge tech, including Large Language Models (LLMs) and Natural Language Understanding (NLU).
Solve challenging performance and architectural issues in highly distributed systems.

Lead Member Of Technical Staff (AI)