AI Engineer

Worldpac; Oakbrook Terrace (IL); On-site; USD 83,000 - 111,000; Full time

Job summary

Worldpac, a private equity-owned leader in automotive parts distribution, seeks an AI Engineer to identify, architect, and deploy GenAI applications across the enterprise from Finance to Operations. You will work in Azure Databricks and Snowflake, shipping LLM-powered agents and automation that deliver measurable ROI and transform business processes at scale.

Responsibilities include prioritizing use cases with stakeholders, building production PoCs, and collaborating with Data and Software

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or related field.
• 4+ years of AI/ML development experience with 2+ years deploying GenAI applications to production.
• Proven experience building LLM agents with frameworks like LangChain, AutoGen or similar orchestration layers.
• Strong Python development skills and experience with FastAPI or equivalent frameworks.
• Familiarity with secure enterprise deployment (Azure OpenAI, private GPT, vector DBs, RAG pipelines).
• Hands-on experience building autonomous agents or copilots for enterprise use cases.

Responsibilities

• Identify and prioritize GenAI use cases across departments with stakeholder input.
• Architect and develop prototype agents using private ChatGPT, Azure OpenAI, Claude and open-source LLMs.
• Implement RAG, multi-agent orchestration, and intelligent automation.
• Build and deploy PoCs demonstrating feasibility, value, and enterprise integration.
• Tune prompts, tool integrations and memory handling for reliability and accuracy.
• Build FastAPI services integrating with AS400/IBM i, Salesforce, Oracle, Snowflake, etc.
• Collaborate with Data/Software Engineers to transition PoCs to scalable apps with CI/CD and MLOps.

Skills

Python

FastAPI

LangChain

AutoGen

LLM agents

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

Azure OpenAI

Private GPT instances

Vector databases

FAISS

Weaviate

Pinecone

Snowflake

LangGraph

Job description

Worldpac, a private equity-owned leader in automotive parts distribution, is seeking an AI Engineer to identify, architect, and deploy production GenAI applications across the enterprise. In this role you will partner with teams in Finance, Inventory, Procurement, Operations, etc. to discover high-value AI opportunities, then build and productionize solutions that deliver measurable ROI.

You'll combine strategic discovery with hands-on engineering and production deployment. Working in a modern Azure Databricks and Snowflake environment, you'll ship LLM-powered agents and automation that transform business operations and have true impact.

Key Responsibilities

• Identify and prioritize GenAI use cases across departments through stakeholder partnerships and operational deep-dives.
• Architect and develop prototype agents using private ChatGPT instances, Azure OpenAI, Anthropic Claude, and open-source LLMs
• Implement RAG systems, multi-agent orchestration, and intelligent automation using frameworks such as LangChain, LlamaIndex, or LangGraph.
• Build and deploy automated PoCs that demonstrate feasibility, value, and integration potential with enterprise systems.
• Evaluate and tune prompt engineering strategies, tool integrations, and memory handling for agent reliability and accuracy.
• Build API services (FastAPI) integrating with enterprise systems (AS400/IBM i, Salesforce, Oracle, etc.) and Snowflake dataStay on top of GenAI research, LLM fine-tuning techniques, and agentic design patterns to continually evolve our internal capabilities.
• Collaborate with Data Engineers and Software Engineers to transition PoCs into robust, secure, and scalable enterprise applications.Create documentation, reusable components, and establish GenAI engineering standards to accelerate AI adoption across the company.
• Deploy applications on Azure infrastructure with CI/CD pipelines, MLOps workflows, monitoring, and cost optimization
  
  

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 4+ years of experience in AI/ML development, with 2+ years building GenAI applications deployed to production.
• Proven experience developing LLM agents using frameworks such as LangChain, AutoGen, or similar orchestration layers with measurable business value.
• Strong Python development skills, including experience with FastAPI or similar frameworks.
• Familiarity with tools for secure enterprise deployment (e.g., Azure OpenAI, private GPT instances, vector databases, RAG pipelines).
• Hands-on experience building autonomous agents or copilots for enterprise use cases (e.g., workflow automation, content generation, monitoring).
• Experience designing PoCs with measurable business outcomes and communicating value to both technical and non-technical audiences.
• Strong collaboration, communication, and project management skills in a cross-functional environment.
  
  

Preferred Qualifications

• Experience working within or supporting large industrial or B2B distribution businesses.
• Familiarity with DevOps or MLOps workflows for AI model deployment.
• Exposure to data privacy, governance, and secure model deployment in regulated enterprise environments.
• Prior work with open-source or commercial RAG systems, embedding models, or vector search (e.g., FAISS, Weaviate, Pinecone).
• Ability to mentor other developers or analysts on GenAI development best practices.
  
  

Posted Salary Range

USD $83,000.00 - USD $111,000.00 /Yr.