This early-career Associate AI Engineer role sits on the Data & Analytics team and focuses on designing, building, and supporting AI-powered solutions, including chat assistants, workflow automation, and integrations. The position is full-time and on-site in Oak Brook, IL, with mentorship and hands-on production work building LLM, RAG, and agentic workflows.
Role Responsibilities
- Translate product requirements and user stories into AI/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, collaborating 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 establish strong engineering habits
- Support and promote the internal AI chat platform (WPChat) across the organization
- Document work 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
What You Bring
- 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
- A 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 something with an LLM or AI framework (for example, LangChain), a machine-learning project, an API integration, or a chatbot
- Comfort with engineering fundamentals including Git, reading documentation, and debugging
- Strong problem-solving skills, attention to detail, and eagerness to learn
- Clear communication and a collaborative, team-oriented mindset
Technologies
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
How You’ll Grow
- Agent orchestration frameworks and patterns, including LangChain, LangGraph, or AutoGen, and approaches such as ReAct and plan-and-execute, including memory and human-in-the-loop flows
- Retrieval-augmented generation (RAG) and NLP tooling such as LlamaIndex, Haystack, PyTorch, and 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 (e.g., Portkey, Kong) and MCP servers connecting to enterprise systems including Oracle, Workday, Salesforce, ServiceNow, and 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, including 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 cloud platforms (AWS, Azure, GCP) or AI platform tools (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, including in web, eCommerce, or general software development
- Familiarity with data privacy and security basics
- Interest in or exposure to the wholesale distribution, manufacturing, CPG, or eCommerce industries
Work Arrangement and Compensation
- Work location: Oak Brook, IL (on-site)
- Employment type: Full-time
- Pay range: USD $83,000.00 - USD $111,000.00 /Yr
Additional Information
- Worldpac is unable to sponsor H1-B’s or TN’s now or in the future.
