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Worldpac

Associate AI Engineer

Worldpac
Oak Brook, IL $83k - $111k/yr Full time Posted 3h ago
Agentic Ai Artificial Intelligence Azure Cloud Data Integration Data Science Google Cloud Large Language Models Machine Learning Microsoft Azure Ai Foundry PyTorch Rag Architectures
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Job Description

Worldpac is hiring an early-career Associate AI Engineer to support the Data & Analytics team. In this full-time, on-site role in Oak Brook, IL, you will help design, build, and maintain AI-powered solutions, including chat assistants, workflow automation, and integrations.

Key Responsibilities

  • Translate product requirements and user stories into AI and ML solutions, with guidance from senior engineers and the Product Manager
  • Contribute to building and testing AI chat assistants and automation tools for internal teams, in collaboration with senior engineers and external partners
  • Assist with integrating AI solutions with existing databases, APIs, and business applications
  • Help build, train, and evaluate machine learning and LLM-based features while learning production, quality, and security standards
  • Contribute to agentic and retrieval-augmented (RAG) workflows using frameworks such as LangChain or similar, starting with guided tasks and progressing toward independence
  • Support and help maintain existing AI agents, tools, and automations, including troubleshooting with team support
  • Write clean, well-documented code and participate in code reviews to strengthen engineering habits
  • Help support and promote the internal AI chat platform (WPChat) across the organization
  • Document what you build and stay current with AI/ML developments, sharing learnings with the team
  • Collaborate across IT, data, and business teams, and partner with external vendors on delivery

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or an equivalent combination of education and practical experience (including bootcamps or a strong self-taught portfolio). Recent and upcoming graduates are welcome
  • Foundational programming ability in Python, demonstrated through coursework, internships, academic or personal projects, bootcamp work, or open-source contributions
  • Working understanding of core AI/ML and large language model (LLM) concepts, including how they work and where they are used
  • Hands-on exposure to at least one relevant area, such as building with an LLM or AI framework (for example, LangChain), an ML project, an API integration, or a chatbot (class, capstone, or personal project also counts)
  • Comfort with engineering fundamentals including version control (Git), reading documentation, and debugging
  • Strong problem-solving skills, attention to detail, and a genuine eagerness to learn
  • Clear communication and a collaborative, team-oriented mindset

Technologies You May Work With

  • Python, LangChain, LangGraph, AutoGen, ReAct, LlamaIndex, Haystack
  • PyTorch, scikit-learn
  • AWS, Azure, GCP, Vertex AI, Amazon Bedrock, Azure AI Foundry
  • Portkey, Kong, MCP servers
  • Oracle, Workday, Salesforce, ServiceNow, Jira
  • RPA, Git
  • WPChat

Work Arrangement and Pay Range

  • Location: Oak Brook, IL (on-site)
  • Employment Type: Full-time
  • Pay Range: USD $83,000.00 to USD $111,000.00 per year

Opportunity Notes

Worldpac is unable to sponsor H1-B’s or TN’s now or in the future.

How You Will Grow (Learning Focus)

  • Agent orchestration frameworks (LangChain, LangGraph, or AutoGen) and patterns such as ReAct and plan-and-execute, including memory and human-in-the-loop flows
  • Retrieval-augmented generation (RAG) and NLP tooling (for example, LlamaIndex, Haystack, PyTorch, scikit-learn)
  • Deploying AI solutions on cloud platforms (AWS, Azure, or GCP) and platform tools such as Vertex AI, Amazon Bedrock, or Azure AI Foundry
  • Working with AI gateways (for example, Portkey, Kong) and MCP servers that connect to enterprise systems (Oracle, Workday, Salesforce, ServiceNow, Jira)
  • Building and integrating RPA workflows and connecting them to LLM decision layers
  • MLOps practices for deploying and monitoring models, and building conversational AI across channels (web chat, and potentially voice, SMS, and email)

Nice to Have

  • Hands-on exposure to LLM agent frameworks (LangChain, AutoGen, LangGraph, CrewAI, Flowise) or RAG tools (LlamaIndex, Haystack)
  • Experience with a cloud platform (AWS, Azure, GCP) or an AI platform tool (Vertex AI, Bedrock, Azure AI Foundry)
  • Exposure to LibreChat, MLOps tooling, AI gateways (Portkey, Kong), or MCP servers
  • Coursework or projects in NLP, chatbots, or conversational AI, including voice, SMS, email, or web chat
  • Internship or project experience in web, eCommerce, or general software development
  • Familiarity with data privacy and security basics
  • Interest in or exposure to wholesale distribution, manufacturing, CPG, or eCommerce industries

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