Job Summary
The AI Engineer will design, develop, deploy, and optimize artificial intelligence and machine learning solutions that support business innovation and operational efficiency. The role focuses on building scalable AI applications, integrating Generative AI and Large Language Model capabilities into enterprise platforms, deploying production-ready machine learning models, and applying cloud, MLOps, containerization, and software engineering practices to enterprise AI solutions.
Key Responsibilities
• Design, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise business applications.
• Build and integrate Generative AI and Large Language Model solutions to enhance business processes and user experiences.
• Develop AI-powered applications, APIs, and services using Python and modern AI frameworks.
• Design, train, evaluate, deploy, and optimize machine learning models for production environments.
• Implement Retrieval-Augmented Generation, prompt engineering, vector databases, and AI agent frameworks where appropriate.
• Deploy and manage AI solutions using cloud-based AI services, with a preference for Microsoft Azure.
• Monitor model performance, optimize inference, and implement continuous improvements for accuracy, scalability, and reliability.
• Collaborate with data engineers, software developers, and business stakeholders to integrate AI solutions with enterprise data platforms and applications.
• Implement MLOps practices including model versioning, CI/CD pipelines, automated testing, model evaluation, and production monitoring.
• Utilize Docker and Kubernetes to deploy scalable AI workloads.
• Work with SQL and enterprise data sources to prepare, process, and integrate data for AI and machine learning solutions.
• Troubleshoot complex technical issues across distributed cloud environments and optimize system performance.
• Research emerging AI technologies and industry best practices and recommend solutions that create business value.
• Participate in Agile development processes and provide technical leadership throughout the software development lifecycle.
Required Qualifications
• 5+ years of experience in software engineering, machine learning, artificial intelligence, or related technical roles.
• 3+ years of experience developing and deploying production AI/ML solutions.
• Hands-on experience with Large Language Models, Generative AI, and modern AI frameworks.
• Strong Python programming skills with experience building scalable AI applications and APIs.
• Experience with model deployment, optimization, monitoring, and cloud-based AI services.
• Experience designing, building, and optimizing machine learning models to solve business challenges.
• Knowledge of Retrieval-Augmented Generation, prompt engineering, vector databases, and AI agent frameworks.
• Familiarity with MLOps practices including model versioning, CI/CD, model evaluation, and monitoring.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Working knowledge of SQL, data processing, and enterprise data platform integration.
• Strong analytical and problem-solving skills in distributed cloud environments.
• Ability to evaluate and apply emerging AI/ML technologies and industry best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Experience working in Agile development environments.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Preferred Qualifications
• Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Experience with Microsoft Azure AI services or Azure Machine Learning.
• Experience with comparable cloud-based AI platforms.
• Experience with Generative AI, LLMs, and enterprise AI application development.
