Sr. Engineer - GenAi
Core
Design, develop, and deploy proprietary Generative AI tools, privately instanced LLMs, and business-focused use cases (chatbots) for Skechers' internal platform.
Role type
Senior Generative AI Engineer (Software Engineering & Architecture)
Builds
Private GenAI platform, LLMs, and scalable AI pipelines
Domain
Retail / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, FastAPI, Node.js, React.js, React Native, AWS (Bedrock, Lambda, EC2, S3), LLMs (Claude, Stable Diffusion, Amazon Nova), RAG, vector search, SQL, NoSQL (MySQL, MongoDB, CloudantDB), Docker, Kubernetes (ECS/EKS/Fargate), Terraform, GitHub Actions, LangChain, Strands SDK
Preferred skills
Prompt engineering, websockets, Vue.js
Technologies
AWS, Bedrock, AgentCore, Lambda, EC2, S3, Claude, Stable Diffusion, Amazon Nova, Python, FastAPI, Node.js, React, React Native, LangChain, Strands SDK, MySQL, MongoDB, CloudantDB, Redis, Docker, ECS, EKS, Fargate, Terraform, GitHub Actions, JIRA, Confluence, Postman, Jenkins
Responsibilities
Lead design and deployment of GenAI tools and LLMs; Develop scalable AI pipelines using AWS services; Build frontend applications (web/mobile) using React/React Native; Implement AI model training, testing, and validation; Coordinate with cross-functional teams (security, UI/UX, data integration); Assist with QA and test case definition.
Seniority
Senior, hands-on IC with mentorship responsibilities