TL;DR

Lead Member of Technical Staff (AI/ML): Building and optimizing highly scalable, real-time systems for the Shopper Agent platform, transforming shopping into an intelligent conversation with an accent on conversational AI and operational excellence. Focus on researching, evaluating, and integrating cutting-edge AI/ML technologies like LLMs, tackling systemic performance bottlenecks, and mentoring senior engineers across the Commerce Cloud organization.

Location: Onsite in the San Francisco Bay Area, California, specifically San Francisco, Palo Alto, or Los Angeles.

Company

%hirify_global% is a cloud-based software company focusing on CRM solutions and commerce platforms, driving AI-driven shopper interactions for global brands.

What you will do

Own the long-term technical strategy and ensure the Shopper Agent platform scales for the world's largest commerce sites.
Research, evaluate, and integrate cutting-edge AI/ML technologies such as Large Language Models (LLMs), Natural Language Understanding (NLU), and vector databases.
Solve systemic performance bottlenecks and architectural deficiencies in highly distributed, fault-tolerant cloud-native systems.
Collaborate with cross-functional teams and mentor senior engineers to raise engineering excellence.
Define operational excellence, resilience, and security for global enterprise-scale systems.

Requirements

12+ years of experience in software engineering, with 3+ years operating 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 (e.g., Java, Python, or Go) and experience with SQL and NoSQL environments.
Significant experience building and deploying on public cloud platforms (AWS, Azure, or GCP).
Strong technical communication skills to articulate complex technical visions.
For roles in San Francisco and Los Angeles, %hirify_global% will consider for employment qualified applicants with arrest and conviction records pursuant to local ordinances.

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

Be part of a team transforming shopping with intelligent conversational AI for major brands.
Opportunity to play with cutting-edge AI/ML technologies.
Work on defining operational excellence, resilience, and security for global enterprise systems.
Influence engineering practices and mentor senior engineers.