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Artificial Intelligence Engineer
Jobrapido
3 hours ago
Full-time
On-site
Providence, Rhode Island, United States
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. 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
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. 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