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# AI Engineer

- **Company:** Stefanini
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, BigQuery, Continuous Integration, Database Applications, DevOps, Django Web Framework, Github, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Reinforcement Learning, Data Logging, Google Cloud, Cloud Platform System, Test-Driven Development (TDD), Flask (Web Framework), Large Language Models, Deep Learning, Generative AI, Backend, Agentic-AI, Google Cloud Functions, Build Tools, Terraform
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/ef11d866-baa4-4e20-b809-e1e71c9b015f

## About the Role

Experience Required3 5 years of relevant experience; Senior Associate level.The role focuses on hands-on development of AI-powered systems that Integrate Google LLMs with BigQuery data. Build 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.

Education RequiredBachelor's degree

## Description

We are seeking an AI Engineer who will develop intelligent programs, cognitive applications, and algorithms for data analysis and automation. This hands-on role focuses on building AI-powered systems that integrate Google Cloud LLMs with BigQuery data, support root-cause analysis, and deliver explainable insights to quality engineers.

Key ResponsibilitiesTranslate 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 such as 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.

Skills RequiredGoogle Cloud Platform (Google Cloud Platform)Python