Senior Engineer – GenAi

Launch Potato

. Help lead the design, development, and deployment of Skechers’ Generative AI tools, including privately instanced LLMs, the private GenAI platform, and GenAI use cases .

Posted 9/18/2026full-timeManhattan Beach • California • United StatesSenior💰 $160,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying Generative AI tools, with strong proficiency in Python, AWS services, and frontend frameworks like React. Capable of integrating AI solutions across teams while ensuring compliance with GDPR and implementing effective AI model training and validation practices.

Highest-signal resume keywords

Generative AI ModelsPython ProgrammingAWS ServicesREST API DevelopmentFrontend Development with React

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonAWS BedrockGenerative AIREST APIsReact.jsNode.jsSQLNoSQLHTMLCSS

Soft Skills

Interpersonal SkillsCommunication SkillsMentoring

Tools & Technologies

PostmanJIRAConfluenceGitDocker

Certifications & Qualifications

B.S. or M.S. in Computer ScienceMachine LearningAI

Industry Keywords

GDPR ComplianceAgile MethodologiesMicroservicesChatbotsKeyword Vector Search

Tech Stack

Tools & technologies

AWSDockerEC2JavaScriptJenkinsMicroservicesMongoDBMySQLNode.jsNoSQLPythonReactReact NativeRedisSQLTerraformVue.js

About the role

Key responsibilities & impact

Help lead the design, development, and deployment of Skechers’ Generative AI tools, including privately instanced LLMs, the private GenAI platform, and GenAI use cases
Coordinate with security, UI/UX, data integration, architecture, and business-unit teams to integrate and refine AI solutions
Develop and maintain scalable AI pipelines using AWS Bedrock, AgentCore, Lambda, EC2, and S3
Use AWS, Claude LLM, Stable Diffusion, keyword vector search, RAG, and GDPR-compliant practices
Build backend services with Python and FastAPI and microservices with Node.js
Develop frontend applications using React.js and React Native
Develop and deploy chatbots, business-focused use cases, and additional GenAI tools
Apply current generative AI advancements to business problems
Implement practices for AI model training, testing, and validation
Execute the product backlog and resolve issues efficiently
Assist QA by defining and testing user test cases

Requirements

What you’ll need

B.S. or M.S. in Computer Science, Machine Learning, AI, or equivalent or proven years of experience
8+ years of experience in software development, including some experience with generative models
3+ years of experience with backend server language Python
5+ years of experience developing REST APIs with JSON, HTTP protocol, Postman and/or curl
5+ years of experience with HTML, CSS, JavaScript, and at least one JavaScript frontend framework (e.g. React or Vue)
Familiarity with websockets required
Proficiency in AWS services, including Bedrock, AgentCore, Lambda, EC2, and S3
Strong command of generative AI models, including Claude LLM, Stable Diffusion, and Amazon Nova
Strong command of keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant data handling
Strong programming skills in Python and familiarity with LangChain and the Strands SDK
Comfort using frontend JavaScript frameworks such as React or React Native
Experience with agile methodologies and tools, specifically JIRA and Confluence
Proficiency in SQL and NoSQL databases such as MySQL and CloudantDB or MongoDB; Redis is a plus
Proficiency with Git, Jenkins, and Postman
Strong interpersonal and communication skills; ability to mentor junior engineers
Experience with Docker and container orchestration systems such as AWS ECS/EKS/Fargate is desired but not required
Exposure to Terraform and GitHub Actions
Prompt engineering expertise highly desired