Remote AI Solutions Engineer

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:

1. Intro Video Section – Candidate introduction & motivation.
2. Analytical & Problem-Solving Skills – Scenario-based questions.
3. Technical Test – Covering AI engineering, Python, SQL, and cloud AI services.