Senior AI Engineer
Worldpac LLC
Oak Brook, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 131KJob location
Oak Brook, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Business Software
Cloud Computing
Databases
Data Integration
Python
Machine Learning
Natural Language Processing
TensorFlow
Google Cloud Platform
Chatbots
PyTorch
Large Language Models
Generative AI
Scikit Learn
Information Technology
Machine Learning Operations
Job description
- Translate product requirements and user stories into robust AI/ML solutions
- In collaboration with external partners, design, develop, and deploy AI-powered chat assistants and automation tools for internal teams
- Integrate AI solutions with existing databases, APIs, and business applications
- Build, train, evaluate, and maintain machine learning models, with a focus on production readiness and scalability
- Collaborate with IT and data teams to ensure data quality, security, and compliance
- Document technical designs, code, and deployment processes
- Stay current with advancements in AI/ML technologies and recommend best-fit solutions
- Provide technical support for deployed AI systems and assist with troubleshooting as needed
Requirements
Do you have experience in Natural language processing?, * Bachelor's degree in computer science, Engineering, Data Science, or a related field; or equivalent combination of education and relevant professional experience
- 6 - 8 years of hands-on experience developing and deploying AI/ML solutions in a production environment, with at least 4 years specifically focused on LLM-based GenAI applications
- Proven experience developing LLM agents using frameworks such as LangChain, AutoGen, or similar orchestration layers
- Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with natural language processing (NLP) and building chatbots or conversational AI systems
- Strong knowledge of database systems and data integration
- Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions
- Ability to write clean, maintainable, and well-documented code
- Strong problem-solving skills and attention to detail
- Experience with MLOps practices and tools for model deployment and monitoring
- Experience working in agile, cross-functional teams
Preferred Qualifications
- Experience with RPA (Robotic Process Automation) tools
- Knowledge of data privacy and security best practice
Collaboration
- Work closely with the Product Manager, who will define and prioritize AI projects and features
- Collaborate with IT, data, and business teams to ensure seamless integration and deployment of AI solutions
Benefits & conditions
Location Type: On-Site Pay Range: USD $130,500.00 - USD $174,000.00 /Yr.