Key Facts

Remote From:

Full time

Mid-level (2-5 years)

English

Hard Skills

Large Language Modeling Performance Systems Analysis Architectural Design System Deployment Scalability Generative Research Cross-Functional Collaboration Product Roadmap Management Technical Leadership

Other Skills

•
Decision Making
•
Mentorship
•
Innovation

Roles & Responsibilities

Minimum 5 years of experience in AI/ML engineering or related field.
Proven experience defining and leading long-term technical strategy and architecture for GenAI/LLM platforms.
Deep expertise in model deployment, scalability, and performance optimization for high-throughput, low-latency production environments.
Experience coaching senior and staff engineers and collaborating across product and engineering teams.

Requirements:

Define and lead the long-term technical strategy and architecture for all GenAI and LLM platforms and services.
Act as the principal reviewer and decision-maker for all critical architectural choices concerning model deployment, scalability, and performance enhancement.
Develop and implement best practices for research, fine-tuning, and the highly cost-effective deployment of open-source Large Language Models (LLMs) and other generative AI models.
Tackle and resolve the most challenging engineering problems related to high-throughput, low-latency, and cost-optimized LLM inference within a global production setting.

Job description

This role is for one of the Weekday's clients

Min Experience: 5 years

Location: Remote

JobType: full-time

Requirements

Define and lead the long-term technical strategy and architecture for all GenAI and LLM platforms and services.

● Act as the principal reviewer and decision-maker for all critical architectural choices concerning model deployment, scalability, and performance enhancement.

● Develop and implement best practices for research, fine-tuning, and the highly cost-effective deployment of open-source Large Language Models (LLMs) and other generative AI models.

● Tackle and resolve the most challenging engineering problems related to high-throughput, low-latency, and cost-optimized LLM inference within a global production setting.

● Offer in-depth technical mentorship and guidance to senior and staff engineers, effectively amplifying the impact across multiple engineering teams.

● Drive continuous, groundbreaking innovation in applying GenAI to fashion and apparel data.

● Collaborate with product teams and other departments to shape the comprehensive roadmap for AI-driven capabilities.