AI Engineer

Stefanini North America and APAC; Detroit (MI); In loco; USD 110.000 - 160.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

Strumenti

Terraform

Tekton

Jenkins

Cloud Run

BigQuery

GitHub Copilot

Descrizione del lavoro

Only W2 (open for H1B transfer as well), No C2C/1099

Details:

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 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 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 Required

• Python

Experience Required

• 3-5 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.