AI Engineer: Cloud LLMs + BigQuery Automation

Stefanini North America and APAC; Detroit (MI); On-site; USD 110,000 - 160,000; Full time

Job summary

Stefanini North America and APAC seeks an AI Engineer to build AI-powered systems that integrate Google Cloud LLMs with BigQuery data for data analysis and automation. The role emphasizes root-cause analysis, explainable insights, and scalable AI agents for quality engineers.

You will work on multi-step reasoning workflows, AI algorithms, and APIs, leveraging Python and modern backend frameworks within an Agile environment. Ability to implement robust logging and governance is essential.

Qualifications

• 3-5 years of relevant experience at Senior Associate level.
• Hands-on development of AI-powered systems integrating Google LLMs with BigQuery data.
• Experience with Infrastructure as Code (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 and backend frameworks (Flask, Django, or FastAPI).
• Experience with TDD, MVP development, or evolutionary design; basic ML understanding.

Responsibilities

• Translate business requirements into AI models and applications for data analysis and automation.
• Build AI agents that generate and execute BigQuery SQL for investigations and root-cause analysis.
• Design investigation-memory models to preserve intelligence across sessions.
• Develop multi-step reasoning workflows and APIs powering UX for quality engineers.
• Conduct large-scale experimentation and develop data-driven apps turning data into insight.
• Apply AI techniques including deep learning, NLP, image processing, and cognitive automation.
• Research and optimize AI tech to improve data analysis accuracy.
• Implement logging, traceability, and governance for explainable AI systems.

Skills

Python

Tools

Terraform

Tekton

Jenkins

Cloud Run

BigQuery

GitHub Copilot

Job description

Stefanini North America and APAC seeks an AI Engineer to build AI-powered systems that integrate Google Cloud LLMs with BigQuery data for data analysis and automation. The role emphasizes root-cause analysis, explainable insights, and scalable AI agents for quality engineers.

You will work on multi-step reasoning workflows, AI algorithms, and APIs, leveraging Python and modern backend frameworks within an Agile environment. Ability to implement robust logging and governance is essential.