R
Artificial Intelligence Engineer
Robert Half
3 hours ago
Full-time
On-site
Grand Rapids, Michigan, United States
Before applying for this role, please read the following information about this opportunity found below.
About the Company
Grand Rapids based organization is looking to take their technology into the future.
About the Role
We are looking for a skilled
AI Engineer
to join our team and build high-performance, production-ready AI features. You will bridge the gap between raw machine learning models and end-user applications. You will own the design and implementation of Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust LLM integrations that drive direct business value.
Responsibilities
Key Responsibilities Model Development & Training: Build, train, test, and evaluate machine learning, deep learning, or foundational AI models. Data Preparation: Clean, structure, and preprocess large datasets required for accurate model training. System Integration: Integrate AI capabilities and models into existing applications via APIs and middleware. Optimization & Testing: Monitor performance, reduce latency, handle bias testing, and optimize models for accuracy and cost efficiency. xsgimln Collaboration: Work alongside data scientists, software engineers, and product managers to align technical solutions with business goals.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field (or equivalent practical
Required Skills
Programming Languages: Advanced proficiency in Python (along with libraries like NumPy, pandas, Scikit-Learn) and familiarity with Java, R, or C++. AI/ML Frameworks: Hands-on experience with tools like
About the Company
Grand Rapids based organization is looking to take their technology into the future.
About the Role
We are looking for a skilled
AI Engineer
to join our team and build high-performance, production-ready AI features. You will bridge the gap between raw machine learning models and end-user applications. You will own the design and implementation of Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust LLM integrations that drive direct business value.
Responsibilities
Key Responsibilities Model Development & Training: Build, train, test, and evaluate machine learning, deep learning, or foundational AI models. Data Preparation: Clean, structure, and preprocess large datasets required for accurate model training. System Integration: Integrate AI capabilities and models into existing applications via APIs and middleware. Optimization & Testing: Monitor performance, reduce latency, handle bias testing, and optimize models for accuracy and cost efficiency. xsgimln Collaboration: Work alongside data scientists, software engineers, and product managers to align technical solutions with business goals.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field (or equivalent practical
Required Skills
Programming Languages: Advanced proficiency in Python (along with libraries like NumPy, pandas, Scikit-Learn) and familiarity with Java, R, or C++. AI/ML Frameworks: Hands-on experience with tools like