Senior AI Engineer Job Oakbrook Terrace area,Illinois USA,IT/Tech

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.

We are unable to sponsor at this time. This includes if you currently hold F‑1 OPT status and will later require STEM OPT and/or H1‑B sponsorship.

Key Responsibilities

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

Required Qualifications

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 Lang Chain, Auto Gen, or similar orchestration layers
Proficiency in Python and relevant AI/ML frameworks (e.g., Tensor Flow, 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

Posted Salary Range: USD $ - USD $ /Yr.

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