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