AI Engineer — Direct-Client AI & Automation (Sponsorship)

Systems Technology Group, Inc. (STG); Dearborn (MI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Immigration sponsorship

Direct end-client engagement

Long-term position

Job summary

STG in Dearborn, MI is seeking an Artificial Intelligence Engineer (W2 role) to develop AI programs and cognitive applications. You will leverage deep learning, NLP, image processing and automation to solve complex problems for direct end clients.

The position emphasizes experimentation, scalable data-driven apps, and responsible AI practices. Responsibilities include designing AI models, integrating Google LLMs with BigQuery data, and building AI agents for root cause analysis.

Qualifications

• Proficient coding skills with modern backend frameworks and AI tooling.
• Experience with Infrastructure-as-Code and DevOps practices is required.
• Familiarity with CI/CD and cloud data services is essential.

Responsibilities

• Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
• Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
• Drive innovative applications of AI tools and techniques and optimize technologies to enhance efficiency and accuracy of data analysis and automation
• Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills

Coding

Terraform

DevOps

CI/CD

Cloud Run

BigQuery

GitHub Copilot

Agile

Flask

Django

FastAPI

TDD

ML basics

Google LLMs

BigQuery SQL

Tools

Tekton

Jenkins

Job description

STG in Dearborn, MI is seeking an Artificial Intelligence Engineer (W2 role) to develop AI programs and cognitive applications. You will leverage deep learning, NLP, image processing and automation to solve complex problems for direct end clients.

The position emphasizes experimentation, scalable data-driven apps, and responsible AI practices. Responsibilities include designing AI models, integrating Google LLMs with BigQuery data, and building AI agents for root cause analysis.