AI Engineer

Stefanini Group • Dearborn, MI

7d • Onsite

About The Position

Stefanini Group is seeking an AI Engineer in Dearborn, Michigan. This hands-on role develops intelligent programs, cognitive applications, and algorithms for data analysis and automation. The engineer will build AI-powered systems integrating Google Cloud LLMs with BigQuery data, support root-cause analysis, and deliver explainable insights to quality engineers.

The role includes translating business requirements into AI algorithms, models, and applications; building tool-using AI agents; designing investigation-memory models; and developing multi-step reasoning workflows and APIs. It also involves conducting large-scale experimentation, applying AI techniques to data analysis and automation, optimizing AI technologies, and implementing logging, traceability, and governance mechanisms for accountable systems.

Stefanini Group provides outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to enterprises worldwide.

Requirements

• 3–5 years of relevant experience.
• Google Cloud Platform (GCP) experience.
• Python experience.
• Hands-on experience developing AI-powered systems that integrate Google LLMs with BigQuery data.
• Experience building tool-using AI agents for root-cause analysis.
• Experience with Infrastructure as Code, including Terraform, and DevOps practices.
• Familiarity with CI/CD tools such as Tekton or Jenkins.
• Experience with Cloud Run, BigQuery, and GitHub Copilot.
• Understanding of Agile methodologies.
• Experience with backend frameworks such as Flask, Django, or FastAPI.
• Experience with Test-First or Test-Driven Development (TDD), MVP development, or evolutionary design.
• Basic understanding of machine learning.
• Bachelor's degree.

Responsibilities

• Translate business requirements into AI algorithms, models, and applications that solve complex problems, generate recommendations, identify patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities.
• Build AI agents that generate and execute BigQuery SQL to support investigations and root-cause analysis.
• Design investigation-memory models to preserve relevant intelligence across sessions, using structured and, where appropriate, semantic approaches.
• Develop multi-step reasoning workflows and APIs that power user experiences for quality engineers.
• Conduct large-scale experimentation and develop data-driven applications that turn data into actionable intelligence.
• Apply AI techniques including deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, and virtual assistants.
• Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation.
• Implement logging, traceability, and governance mechanisms to support explainable and accountable AI-powered systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior