Principal Engineer- AI

Weekday Technologies Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• As a Principal Engineer - AI at Weekday 1, you will define and lead the long-term technical strategy and architecture for all GenAI and LLM platforms and services, playing a pivotal role in shaping the company’s AI-driven future in the fashion and apparel industry.
• You will act as the principal reviewer and decision-maker for all critical architectural choices concerning model deployment, scalability, and performance enhancement, ensuring robust, efficient, and future-proof AI systems.
• Your day-to-day responsibilities include developing and implementing best practices for research, fine-tuning, and cost-effective deployment of open-source Large Language Models (LLMs) and other generative AI models, directly impacting model quality and operational efficiency.
• You will tackle and resolve the most challenging engineering problems related to high-throughput, low-latency, and cost-optimized LLM inference within a global production setting, requiring deep expertise in distributed systems and AI optimization.
• You will provide in-depth technical mentorship and guidance to senior and staff engineers, amplifying technical excellence and fostering a culture of innovation across multiple engineering teams.
• You will drive continuous, groundbreaking innovation in applying GenAI to fashion and apparel data, enabling new product capabilities such as personalized recommendations, trend forecasting, and generative design.
• You will collaborate closely with product teams and other departments to shape the comprehensive roadmap for AI-driven capabilities, aligning technical execution with business goals and customer needs.
• You will work in a remote-first environment with a forward-thinking company that values technical depth, innovation, and impact, offering the autonomy to influence AI strategy at the highest level.
• In this role, you will achieve mastery in scaling generative AI systems in production, gain influence over enterprise-wide AI direction, and leave a lasting technical legacy by building foundational AI infrastructure that powers next-generation fashion tech.

🎯 Requirements

• Minimum 5 years of hands-on experience in AI/ML engineering, with deep expertise in Large Language Models (LLMs), generative AI, and model deployment at scale.
• Proven ability to define and execute long-term technical strategy for AI platforms, including architecture decisions around model serving, inference optimization, and system scalability.
• Strong background in fine-tuning, researching, and deploying open-source LLMs in cost-effective, high-throughput production environments.
• Demonstrated experience mentoring senior engineers and driving technical excellence across teams.
• Expertise in solving complex engineering challenges related to low-latency, high-throughput LLM inference in global, distributed systems.
• Passion for applying AI to domain-specific problems, particularly in fashion, apparel, or consumer data contexts.

🏖️ Benefits

• Fully remote work arrangement with flexibility to work from anywhere, supporting work-life balance and global collaboration.
• Opportunity to work on cutting-edge GenAI applications in a high-impact industry (fashion and apparel) with real-world business impact.
• Access to a culture of technical excellence, innovation, and mentorship, with direct influence on company-wide AI strategy.
• Resources and support to experiment with and implement state-of-the-art AI techniques and tools.
• Competitive compensation package commensurate with senior leadership impact and expertise.

Skills & Technologies

Senior

Remote

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

Weekday Technologies Inc.

Visit Website

About Weekday Technologies Inc.

Weekday Technologies operates a hiring platform that connects tech companies with pre-vetted software engineers through community referrals. The product crowdsources candidate recommendations from existing engineering teams, verifies skills, and offers employers a searchable talent pool for contract and full-time roles. Founded in 2021 and headquartered in San Francisco, the company focuses on reducing time-to-hire for startups and scale-ups by leveraging trusted peer networks rather than traditional recruiting pipelines.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.