Job Title: AI Engineer
Location: Dearborn, MI
Job Type: Full-Time
Work Model: Hybrid
Job Summary:
We are seeking an experienced AI Engineer with strong expertise in Python and Google Cloud Platform (Google Cloud Platform) to design and develop AI-powered applications, intelligent automation solutions, and scalable machine learning systems. The ideal candidate will have hands-on experience with BigQuery, Python development, and Google Cloud Platform data engineering services while building AI-driven solutions that transform business data into actionable insights.
Key Responsibilities:
Design, develop, and deploy AI-powered applications using Python and Google Cloud Platform.
Build scalable AI and machine learning solutions for business automation and intelligent decision-making.
Develop AI agents capable of generating and executing BigQuery SQL queries.
Integrate Google LLMs with enterprise data stored in BigQuery.
Design intelligent workflows with multi-step reasoning and root cause analysis capabilities.
Build data pipelines and AI solutions using Google Cloud Platform services.
Develop REST APIs to support AI-driven applications.
Create investigation memory models using structured and semantic approaches.
Implement logging, monitoring, governance, and traceability for AI systems.
Collaborate with cross-functional teams to translate business requirements into AI solutions.
Optimize AI models and applications for performance, scalability, and reliability.
Required Qualifications:
Bachelor''s Degree in Computer Science, Information Technology, Engineering, or a related field.
3–5 years of experience in AI Engineering, Machine Learning, or Software Development.
Strong hands-on experience with Python.
Experience working with Google Cloud Platform (Google Cloud Platform) services.
Strong knowledge of BigQuery and Google Cloud Platform Data Engineering.
Experience developing REST APIs.
Understanding of Generative AI, NLP, and Machine Learning concepts.
Experience with SQL and data modeling.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience with Vertex AI, Gemini, or other Google AI services.
Knowledge of prompt engineering and LLM integration.
Experience with Docker and Kubernetes.
Familiarity with CI/CD pipelines and Git.
Experience building enterprise AI solutions.
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