Opportunity Information:
Please note: We are unable to sponsor H1-B's or TN's now or in the future.
About the Role
This is an early-career role designed for a new or recent graduate who is excited to build a career in applied AI. You'll join our Data & Analytics team and work alongside experienced engineers and external delivery partners to help design, build, and support AI-powered solutions — including chat assistants, workflow automation, and integrations with our business systems.
You won't be expected to know everything on day one. We'll invest in your growth through mentorship, hands-on projects, code reviews, and structured onboarding. What matters most is a solid foundation in programming and AI concepts, genuine curiosity, and the drive to learn quickly. If you've built things in school, an internship, a bootcamp, or on your own — and you're eager to do it in a production environment with people who will help you level up — we'd like to hear from you.
What You'll Do
You'll start with well-scoped tasks and grow toward more independent work as you develop. Day to day, you will:
- Help 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, in collaboration with senior engineers and external partners
- Assist in integrating AI solutions with existing databases, APIs, and business applications
- Help build, train, and evaluate machine-learning and LLM-based features, learning our production, quality, and security standards as you go
- Contribute to agentic and retrieval-augmented (RAG) workflows using frameworks such as LangChain or similar — beginning with guided tasks and building toward independence
- Support and help maintain existing AI agents, tools, and automations, including troubleshooting with support from the team
- Write clean, well-documented code and take part in code reviews to build strong engineering habits
- Help support and promote our internal AI chat platform (WPChat) across the organization
- Document what you build, and stay current with AI/ML developments — sharing what you learn with the team
- Collaborate across IT, data, and business teams, and partner with external vendors on delivery
How You'll Grow — What You'll Learn Here
These are skills you'll develop on the job with mentorship — not prerequisites. Over roughly your first 6–18 months, you can expect to gain hands-on, production experience with:
- 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 — e.g., 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 (e.g., 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)
What We're Looking For
The essentials — this is what we actually require:
- A 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 — how they work and where they're used — from classes, projects, or self-study
- Hands-on exposure to at least one area relevant to the role: building something with an LLM or an AI framework (e.g., LangChain), a machine-learning project, an API integration, or a chatbot. A class, capstone, or personal project counts.
- Any experience with a cloud platform (AWS, Azure, GCP) or an AI platform tool (Bedrock, Azure AI Foundry)
- Comfort with engineering fundamentals: 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
Nice to Have (Bonus, Not Required)
Any of these will strengthen your application, but none are expected of an early-career candidate:
- Any hands-on exposure to LLM agent frameworks (LangChain, AutoGen, LangGraph, CrewAI, Flowise) or RAG tools (LlamaIndex, Haystack)
- 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)
- Any 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
This is a full-time, on-site position at our Oak Brook, IL office. We've made it on-site on purpose: early in your career, working shoulder-to-shoulder with experienced engineers is one of the fastest ways to learn, get real-time feedback, and grow into a strong AI engineer. You'll be part of a team that's invested in your development.
Location Type:
On-Site
Pay Range:
USD $83,000.00 - USD $111,000.00 /Yr.