OTHER

FEED

UNKNOWN

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. Architect and develop prototype agents using private ChatGPT instances, Azure OpenAI, Anthropic Claude, and open-source LLMs.

YEAR

Opportunity Information:
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.<div></div>Key Responsibilities<ul><li>Identify and prioritize GenAI use cases across departments through stakeholder partnerships and operational deep-dives.</li><li>Architect and develop prototype agents using private ChatGPT instances, Azure OpenAI, Anthropic Claude, and open-source LLMs</li><li>Implement RAG systems, multi-agent orchestration, and intelligent automation using frameworks such as LangChain, LlamaIndex, or LangGraph.</li><li>Build and deploy automated PoCs that demonstrate feasibility, value, and integration potential with enterprise systems.</li><li>Evaluate and tune prompt engineering strategies, tool integrations, and memory handling for agent reliability and accuracy.</li><li>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.</li><li>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.</li><li>Deploy applications on Azure infrastructure with CI/CD pipelines, MLOps workflows, monitoring, and cost optimization</li></ul><div></div>Required Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.</li><li>4+ years of experience in AI/ML development, with 2+ years building GenAI applications deployed to production.</li><li>Proven experience developing LLM agents using frameworks such as LangChain, AutoGen, or similar orchestration layers with measurable business value.</li><li>Strong Python development skills, including experience with FastAPI or similar frameworks.</li><li>Familiarity with tools for secure enterprise deployment (e.g., Azure OpenAI, private GPT instances, vector databases, RAG pipelines).</li><li>Hands-on experience building autonomous agents or copilots for enterprise use cases (e.g., workflow automation, content generation, monitoring).</li><li>Experience designing PoCs with measurable business outcomes and communicating value to both technical and non-technical audiences.</li><li>Strong collaboration, communication, and project management skills in a cross-functional environment.</li></ul><div></div>Preferred Qualifications<ul><li>Experience working within or supporting large industrial or B2B distribution businesses.</li><li>Familiarity with DevOps or MLOps workflows for AI model deployment.</li><li>Exposure to data privacy, governance, and secure model deployment in regulated enterprise environments.</li><li>Prior work with open-source or commercial RAG systems, embedding models, or vector search (e.g., FAISS, Weaviate, Pinecone).</li><li>Ability to mentor other developers or analysts on GenAI development best practices.</li></ul>

Location Type:
On-Site

Pay Range:
USD $83,000.00 - USD $111,000.00 /Yr.

Worldpac

AI Engineer

Application Programming Interface (API)

Artificial Intelligence (AI)

Automation

Automotive Engineering

Best Practices

Business-to-Business (B2B)

Communication Skills

Computer Science

Cross-Functional

Data Science

Design Patterns Programming Methodologies

DevOps

Documentation

Enterprise Applications

Establish Priorities

Finance

IBM AS-400 Server

IBM Product Family

Memory Hardware

Mentoring

Microsoft Windows Azure

Open Source

Oracle

Parts Sales

Project/Program Management

Prototyping

Purchasing/Procurement

Python Programming/Scripting Language

Return on Investment (ROI)

Salesforce.com

Software Engineering

System Integration (SI)

Use Cases

[AW]-iCims

Design and deploy sophisticated LLM-based agent systems, reasoning workflows, and tool-integrated pipelines (RAG, chain-of-thought, planning-execution patterns). Architect and maintain production-grade APIs supporting real-time and asynchronous agent operations, including Model Context Protocol (MCP) integration.

AI Engineer | Permanent | No Sponsorship Available | RemoteBENEFITS & COMPENSATION<ul><li>Compensation: Up to $200,000 per year + 8% annual bonus target</li><li>Work Environment: Remote</li><li>PTO: Unlimited</li><li>Retirement: 401K w/ a match</li><li>Medical: Health, vision, and dental plans available for individuals and families</li></ul>AI ENGINEER JOB RESPONSIBILITIES<ul><li>Partner with stakeholders to identify high-impact opportunities where AI can drive efficiency, growth, and competitive advantage</li><li>Design and deploy sophisticated LLM-based agent systems, reasoning workflows, and tool-integrated pipelines (RAG, chain-of-thought, planning-execution patterns)</li><li>Architect and maintain production-grade APIs supporting real-time and asynchronous agent operations, including Model Context Protocol (MCP) integration</li><li>Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior</li><li>Build comprehensive testing frameworks, observability tooling, and diagnostic systems for agent execution and performance monitoring</li><li>Manage the complete AI model lifecycle—integration, deployment, fine-tuning, and production monitoring with logging and recovery mechanisms</li><li>Establish AI governance standards addressing compliance, security, responsible AI, and ethical considerations</li><li>Champion AI adoption across the organization; define success metrics, track progress, and drive organizational alignment</li><li>Collaborate with frontend teams to build intuitive user interfaces and seamless AI system integration using React and TypeScript</li></ul>AI ENGINEER QUALIFICATIONS<ul><li>10+ years of software development and systems architecture experience</li><li>3+ years of hands-on experience designing and implementing AI-driven solutions with production AI tools</li><li>3+ years of specialized expertise with Large Language Models, Generative AI, NLP, and machine learning fundamentals</li><li>Practical experience with deep learning frameworks, RAG architectures, vector databases, and agent-based frameworks</li><li>Working knowledge of cloud-native AI services and deployment patterns</li></ul>Build a rewarding long-term career with us at CFS—when we knock, doors open. Timing is everything. Whether you are aggressively in a job search or simply passive and looking for the ideal position, we would like to have the chance to share our opportunities with you. We specialize in placement of IT professionals. Please contact me for more information about this role as well as other opportunities. #INMAY2026#ZRCFSTECH#LI-AC2 Click here to apply online

Founded by CPA firms in 1994, Creative Financial Staffing has spent over 30 years helping job seekers and employers succeed. In fall 2025, we rebranded as CFS—a name that reflects our full range of expertise while staying true to the trusted company you know.CFS is the industry’s leading employee-owned staffing firm, connecting top talent in accounting, finance, technology, and human resources. We provide skilled professionals on both a temporary and permanent basis across diverse industries, leveraging our extensive network to match the right people with the right opportunities.Our dedication to excellence extends to our award-winning culture, recognized repeatedly for growth, recruiting, workplace environment, and employee support. Honors include Forbes’ “America’s Best Recruiting and Temporary Staffing Firms,” Staffing Industry Analysts’ top U.S. staffing rankings, FlexJobs’ Top 100 Companies for Remote and Hybrid Work, Top Workplaces USA, Newsweek’s Best Practices awards, and more.

Adoption

Cloud Computing

Compensation and Benefits

Deep Learning

Dental Insurance

MCP - Microsoft Certified Professional

Machine Learning

Machine Tool

Metrics

Modeling Languages

Natural Language Processing (NLP)

Performance Analysis

Production Control

Project Tracking

Regulatory Compliance

Software Development

Strategic Planning

System Architecture

Testing

User Interface/Experience (UI/UX)

Vision Plan

IRecruitee

Architect and deploy agentic systems: multi-agent orchestration, planning loops (ReAct, Plan-and-Execute), memory management, and human-in-the-loop approval flows using frameworks such as LangChain, AutoGen, or LangGraph. Experience with natural language processing (NLP) and building chatbots or conversational AI systems including multi-channel integrations including voice/telephony, SMS, email, live web chatbots, etc.

Opportunity Information:
Job Description – Sr. AI Engineer We are seeking a technically skilled Senior AI Engineer to design, develop, and deploy AI-powered solutions across our organization. Your work will include building AI chat assistants, integrating AI with databases and business systems, and automating processes to drive efficiency and innovation. Key Responsibilities<ul style="margin-bottom:0in;margin-top:0px"><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Translate product requirements and user stories into robust AI/ML solutions</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">In collaboration with external partners, design, develop, and deploy AI-powered chat assistants and automation tools for internal teams</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Integrate AI solutions with existing databases, APIs, and business applications</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Build, train, evaluate, and maintain machine learning models, with a focus on production readiness and scalability</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Architect and deploy agentic systems: multi-agent orchestration, planning loops (ReAct, Plan-and-Execute), memory management, and human-in-the-loop approval flows using frameworks such as LangChain, AutoGen, or LangGraph</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Build and integrate RPA workflows to automate repetitive browser, desktop, and back-office processes and connect them to LLM decision layers for intelligent automation</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Collaborate with IT and data teams to ensure data quality, security, and compliance</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Provide support for WPChat and promote its use across the enterprise</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Document technical designs, code, and deployment processes</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Stay current with advancements in AI/ML technologies and recommend best-fit solutions</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Provide technical support for deployed AI systems and assist with troubleshooting as needed</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Work closely with the Product Manager, who will define and prioritize AI projects and features</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Collaborate with IT, data, and business teams to ensure seamless integration and deployment of AI solutions, providing both new development and also production support </li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Partner with external vendors and implementation partners on joint delivery</li></ul> Required Qualifications<ul style="margin-bottom:0in;margin-top:0px"><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Bachelor’s degree in computer science, Engineering, Data Science, or a related field; or equivalent combination of education and relevant professional experience</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">6 - 8 years of hands-on experience developing and deploying AI solutions in a production environment, with at least 4 years specifically focused on LLM-based GenAI applications </li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Proven experience developing complex LLM agents using AI frameworks such as LangChain, AutoGen, or similar orchestration layers</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Senior developer level expertise in new development and with modifying exisiting in-place AI agents, tools and other custom development.  </li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Proficiency in Python and with some relevant Generative AI and NLP development tools, including tools for RAG and NLP (i.e. Haystack, LlamaIndex, CrewAI, Microsoft AutoGen, Flowise, PyTorch, scikit-learn, etc.)</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Experience with natural language processing (NLP) and building chatbots or conversational AI systems including multi-channel integrations including voice/telephony, SMS, email, live web chatbots, etc.</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Demonstrated proficiency in developing AI tools working in environments with common AI Gateway tools (e.g. Portkey or Kong) and MCP Servers for accessing common MCP server enabled software platforms (e.g. Oracle, Workday, Salesforce, ServiceNOW, Jira, etc.) </li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Strong knowledge of database systems and data integration</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions, and AI cloud platform specific development tools such as Gemini Vertex.ai and AWS Bedrock AgentCore.</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Ability to write clean, maintainable, and well-documented code</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Strong problem-solving skills and attention to detail</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Experience working in agile, cross-functional teams</li></ul> Preferred Qualifications<ul style="margin-bottom:0in;margin-top:0px"><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Hands on experience with LibreChat </li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Experience with MLOps practices and tools for model deployment and monitoring</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Knowledge of data privacy and security best practices</li><li style="color:black;line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Experience as a developer in some non-AI areas such as web, eCommerce, or other application development areas</li><li style="line-height:normal;margin-top:0in;margin-right:0in;margin-bottom:8pt;font-size:12pt;font-family:'aptos' , sans-serif">Work in a similar role for a medium to large enterprise business in the wholesale distribution, manufacturing, CPG or eCommerce industries</li></ul>

Location Type:
On-Site

Pay Range:
USD $130,500.00 - USD $174,000.00 /Yr.

AI Jobs in Crown Point, IN

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AI Jobs in Crown Point, IN

AI Engineer Worldpac

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Senior AI Engineer Worldpac

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