Skip to main content

AI Platform Engineer I

Posted today

signet jewelersIrving (TX)

SENIORITY

Mid

Apply (opens in a new tab)

About the role

Overview: In this role you will contribute to the AI Platforms team by building an AI gateway, reusable AI building blocks, and agent tooling on AWS. You will enable secure, consistent AI development across the organization and boost developer productivity through automation. You’ll work under guidance to grow skills in LLM integrations, agent frameworks, and cloud-native tooling. This is a hands-on, growth-focused position in a hybrid environment with meaningful impact on platform quality and developer experience.
Responsibilities: AI Platform & Agent Framework Development — build reusable platform capabilities, gateways, runtimes, and orchestration services; create APIs and developer-facing features; support LLM integrations and agent tooling AI-Native SDLC Platform Development — develop AI coding agents, testing automation, and SDLC workflows; integrate AI with development tools, repositories, and CI/CD pipelines AWS Cloud & Integration Engineering — develop and maintain cloud-native apps on AWS; implement serverless components, APIs, and infrastructure integrations; follow security practices Platform Quality & Operations — automated testing, monitoring, troubleshooting; support deployments and reliability improvements Documentation & Collaboration — maintain technical docs and reusable examples; collaborate with senior engineers and platform users
Key requirements: 1–3 years of hands-on software, cloud, or platform engineering experience Hands-on AWS experience, Python and/or TypeScript, APIs, Git, CI/CD, and generative AI fundamentals Basic understanding of AI agents, agent frameworks, and MCP Basic understanding of API authentication, secrets management, and least-privilege access principles (e.g., AWS IAM) Familiarity with AI coding agents (e.g., Claude Code, GitHub Copilot, OpenAI Codex, Cursor) in daily development Strong problem-solving and troubleshooting skills, with an eagerness to learn new tools and technologies quickly Strong problem-solving abilities Eagerness to learn new tools and technologies Collaborative mindset with senior engineers and platform consumers AWS Python TypeScript

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this