Full-Time

Lead GenAI Engineer

Posted on 1/15/2025

Skechers

Skechers

Compensation Overview

$120k - $175kAnnually

Senior, Expert

El Segundo, CA, USA

Category
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
MySQL
NoSQL
Postman
Git
SQL
Docker
AWS
JIRA
Jenkins
Redis
MongoDB
LangChain
Confluence
Requirements
  • Proficiency in AWS services, including but not limited to Bedrock, Sagemaker, Lambda, EC2, and S3.
  • Strong command of generative AI models, including but not limited to Claude LLM and Stable Diffusion
  • Strong command of keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant data handling.
  • Strong programming skills in Python and familiarity with AI frameworks such as LangChain.
  • Experience with agile methodologies and tools, specifically JIRA by Confluence.
  • Strong problem-solving skills, attention to detail, and the ability to coordinate across multiple teams.
  • Excellent communication and collaboration skills, with the ability to lead a small team.
  • A passion for innovation and keeping abreast of the latest trends in generative AI.
  • Experience with Docker and container orchestration systems such as AWS ECS/EKS/Fargate
  • Experience with AWS CloudFormation and CodeDeploy for CI/CD pipelines
  • Proficient in using SQL and NoSQL databases such as MySQL and CloudantDB or MongoDB, Redis is a plus
  • Proficient in using software developing tool including Git, Jenkins and Postman
  • Strong interpersonal and communication skills and able to mentor junior engineers
  • Strong analytical and problem-solving skills, an independent worker with high degree of self-motivation
Responsibilities
  • Lead the design, development, and deployment of Skechers’ Generative AI tools, including privately instanced LLMs, our private GenAI platform, and GenAI use cases.
  • Coordinate with cross-functional teams including security, UI/UX, data integration, architecture, and several business units to integrate and refine our AI solutions.
  • Develop and maintain scalable AI pipelines using AWS services such as Bedrock, Sagemaker, Lambda, EC2, and S3.
  • Utilize Amazon Web Services (AWS), Claude LLM, Stable Diffusion, keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant practices in daily tasks.
  • Develop and deploy chatbots, business-focused use cases, and additional GenAI tools, ensuring robust, functional, scalable, secure, and user-friendly solutions.
  • Stay up to date with the latest advancements in generative AI and apply them to solve business problems.
  • Implement leading practices in AI model training, testing, and validation.
  • Execute against the product backlog efficiently, ensuring quick resolution of issues and leading practices in development and deployment.
  • Assist with QA to ensure all user test cases are defined and tested.
Desired Qualifications
  • Experience with Docker and container orchestration systems such as AWS ECS/EKS/Fargate
  • Experience with AWS CloudFormation and CodeDeploy for CI/CD pipelines
  • Experience working with the Dell Boomi Platform
  • Experience integrating with 3rd party APIs.
  • Experience working with DevOps teams on implementing CI/CD pipelines and monitoring/alerting.
  • Web development experience with HTML, CSS, and JavaScript
  • Experience with AWS Lambda, API Gateway, S3, is a plus
  • Ability to communicate complex topics with precision and accuracy.
  • Ability to categorize and communicate requirements accurately and effectively.
  • Experience working directly with business facing groups outside of development is a plus.
  • Experience working within an Agile team a plus.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A