AI Engineer
Location: Houston TX Hybrid
Experience: 2-4 years
Engagement Type: Full-Time
About the Role: Smartbridge is looking for an AI Engineer to develop and optimize AI-driven solutions using a range of AI frameworks, cloud platforms, and large language model services. The ideal candidate will have 2-4 years of experience in AI engineering, machine learning models, and cloud-based AI services, with a strong understanding of integrating AI into business processes.
Responsibilities:
- 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
Technical Skills Required:
- 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
- Power Automate or similar workflow automation tools for AI integration
- Data Engineering: SQL, Power Query, and ETL operations
- Familiarity with Git, DevOps, and Agile methodologies
Additional Requirements:
- 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
Recruitment Process & Technical Testing: Candidates will undergo a 45-60 minute TestGorilla assessment, including:
- Intro Video Section – Candidate introduction & motivation
- Analytical & Problem-Solving Skills – Scenario-based questions
- Technical Test – Covering AI engineering, Python, SQL, and cloud AI services
