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AI Platform Engineer (Early Career)

AI Platform Engineer (Early Career)

AO SwagCoppell, TX, US
5 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

About AO Swag

At AO Swag, we're transforming a traditional industry through technology, automation, and AI. We operate a complex ecosystem managing creative assets, product data, and commerce workflows for thousands of clients across corporate and collegiate markets. As we modernize our technology stack and prepare to launch our next-generation platform in 2026, we're building a team that can scale intelligently — using AI, cloud-native architecture, and modern DevOps practices to do more with less.

We're looking for an AI-native engineer with a forward-thinking mindset who's excited to learn, build, and grow with us.

What You'll Do (With Mentorship & Support)

You'll work alongside experienced engineers to :

  • Learn cloud-native development by deploying and managing systems on modern cloud platforms (GCP, Azure, AWS)
  • Build AI-powered automation using frameworks like OpenAI, LangChain, or HuggingFace to solve real business problems
  • Create data integrations that connect our internal systems, commerce platforms, and AI services through APIs
  • Explore modern DevOps practices including CI / CD pipelines, containerization, and infrastructure-as-code
  • Implement monitoring and observability to keep our systems healthy and understand how they perform
  • Prototype lightweight solutions that demonstrate how technology can scale our business without scaling headcount
  • Contribute to our next-generation platform that will serve thousands of clients starting in 2026

What You Need (Core Skills)

Must Have :

  • Solid programming skills in Python or TypeScript / Node.js
  • Hands-on experience with AI tools and frameworks (even from coursework, personal projects, or experimentation)
  • Understanding of APIs and how systems communicate with each other
  • Familiarity with Git and basic version control workflows
  • Problem-solving mindset and genuine curiosity about how things work
  • Willingness to learn infrastructure, DevOps, and cloud technologies on the job

    • Nice to Have (or Eager to Learn) :

  • Exposure to cloud platforms (AWS, GCP, Azure) through coursework or personal projects
  • Any experience with Docker, CI / CD, or deployment automation
  • Understanding of databases and data modeling concepts
  • Tinkering with infrastructure-as-code tools (Terraform, Pulumi, etc.)
  • Interest in monitoring, observability, or AI-ops concepts
  • Experience with data pipelines or ETL processes

    • What We're Looking For (Mindset Over Experience)

  • A builder who loves prototyping and isn't afraid to experiment
  • A learner who asks questions and digs into unfamiliar territory
  • Someone collaborative who thrives working with a small team
  • Comfort with ambiguity in a fast-moving, evolving environment
  • Practical thinking — you can translate business needs into technical solutions

    • Why AO Swag

    You'll Be Mentored

    Work directly with experienced engineers who are invested in your growth. We'll teach you cloud architecture, DevOps practices, AI-ops, and modern software development — you'll learn by doing on real production systems.

    You'll Have Real Impact

    Your code and systems will serve thousands of clients from day one. This isn't a training program where you watch from the sidelines — you'll ship real features, build actual infrastructure, and see immediate results.

    What Success Looks Like in Your First Year

  • Months 1-3 : Learn our systems & business from beginning to end, ship your first features, and get comfortable with our cloud infrastructure
  • Months 4-6 : Own small projects end-to-end, from design through deployment
  • Months 7-12 : Lead automation initiatives, mentor newer team members, and contribute to architectural decisions

    • If you're early in your career but excited to build AI-driven systems, learn modern infrastructure practices, and grow alongside a team that's transforming a traditional industry — we'd love to talk.

    You'll Grow Quickly

    Small team means big opportunities. You'll get exposure to the full stack — from infrastructure to APIs to AI automation — and have the freedom to explore areas that interest you most.

    You'll Shape Our Future

    Join us as we modernize our entire technology approach. You'll have direct access to leadership and real influence over our technical direction.

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    Ai Platform Engineer • Coppell, TX, US