Develop and customize AI-driven solutions to enhance business workflows and automate processes
Integrate AI services from providers such as Microsoft, OpenAI, and other leading platforms into enterprise applications
Design, train, and optimize AI models for predictive analytics, automation, and intelligent decision-making
Implement natural language processing (NLP), machine learning (ML), and automation models to improve user experiences
Collaborate with business users and developers to define AI integration needs and solution requirements
Perform data preprocessing, feature engineering, and fine-tuning of AI models
Ensure AI models are secure, scalable, and optimized for performance
Stay current on emerging AI tools, frameworks, and best practices

2-4 years of experience in AI engineering, machine learning models, and cloud-based AI services
Bachelor's degree in Computer Science, AI, Data Science, or related field
AI-related certifications such as Azure AI Engineer, AWS Machine Learning Specialty, or equivalent preferred
Experience in industries such as Oil & Gas, Healthcare, or Food & Beverage is a plus
Experience with AI/ML frameworks and tools such as LangChain, OpenAI, Azure AI, or similar
Python or R for AI/ML model development
Cloud AI services such as Azure AI, AWS AI, or Google Cloud AI
Large language models (LLMs) and prompt engineering for AI-driven applications
Natural Language Processing (NLP) for text and conversation modeling
Data Engineering: SQL, Power Query, and ETL operations
Familiarity with Git, DevOps, and Agile methodologies.

100% remote role – must be available for the second shift to overlap with the US team until Noon CST
3-month probation period before full-time confirmation
If certification is not already held, it must be completed during probation
Candidates will undergo a 45-60 minute TestGorilla assessment

AI Solutions Engineer

Key skills