AI Platform Engineer I

Signet Jewelers

. Develop reusable AI platform capabilities, AI gateway, agent runtimes, and orchestration services .

Posted 11/12/2026full-timeUnited StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing cloud-native applications and services on AWS, with a strong focus on AI platform capabilities, API integrations, and automation. Proficient in Python and/or TypeScript, with a solid understanding of generative AI and AI coding agents.

Highest-signal resume keywords

AWS ExperiencePython ProficiencyAPI DevelopmentCI/CD FamiliarityGenerative AI Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud-Native DevelopmentAPI IntegrationAI Platform DevelopmentTesting AutomationSDLC WorkflowsServerless ComponentsInfrastructure IntegrationMonitoring and TroubleshootingAI Coding AgentsGit

Soft Skills

Problem-SolvingEagerness to Learn

Tools & Technologies

AWSCI/CD PipelinesGitMCP-Based ToolingAgent Frameworks

Industry Keywords

Cloud Security Best PracticesAPI AuthenticationSecrets ManagementLeast-Privilege Access PrinciplesDeveloper Productivity

Tech Stack

Tools & technologies

AWSCloudPythonSDLCTypeScript

About the role

Key responsibilities & impact

Develop reusable AI platform capabilities, AI gateway, agent runtimes, and orchestration services
Build APIs, integrations, and developer-facing platform features
Support LLM integrations, agent frameworks, and MCP-based tooling
Develop AI coding agents, testing automation, and SDLC workflows
Integrate AI capabilities with development tools, repositories, and CI/CD pipelines
Enhance developer productivity through intelligent automation
Develop and maintain cloud-native applications and services on AWS
Implement serverless components, APIs, and infrastructure integrations
Follow cloud security and engineering best practices
Implement automated testing, monitoring, and troubleshooting
Support platform deployments, reliability, and performance improvements
Maintain technical documentation and reusable engineering examples
Collaborate with senior engineers and platform consumers

Requirements

What you’ll need

1–3 years of hands-on software, cloud, or platform engineering experience
Hands-on AWS experience
Proficiency in Python and/or TypeScript
Experience with APIs, Git, and CI/CD
Generative AI fundamentals
Basic understanding of AI agents, agent frameworks, and MCP
Basic understanding of API authentication, secrets management, and least-privilege access principles, such as AWS IAM
Familiarity with AI coding agents, such as Claude Code, GitHub Copilot, OpenAI Codex, or Cursor, in daily development
Strong problem-solving and troubleshooting skills
Eagerness to learn new tools and technologies quickly

Benefits

Comp & perks

People-first company culture
Diversity, inclusion and equity initiatives