Note: The job is a remote job and is open to candidates in USA. Smartbridge is looking for an AI Engineer to develop and optimize AI-driven solutions using various AI frameworks and cloud platforms. The ideal candidate will have experience in AI engineering, machine learning models, and cloud-based AI services, focusing on 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

Skills

• 2-4 years of experience in AI engineering, machine learning models, and cloud-based AI services
• Strong understanding of integrating AI into business processes
• 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
• Bachelor's degree in Computer Science, AI, Data Science, or related field
• 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
• 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

Benefits

• 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.

Company Overview

Company H1B Sponsorship