Artificial Intelligence Engineer

We are looking for a Middle/Senior AI Engineer to join our AI Engineering team to design, develop, and deploy enterprise-grade AI solutions for global customers. You will work on cutting-edge AI initiatives, including Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Machine Learning, and MLOps.This role requires hands-on technical expertise, strong software engineering skills, and the ability to translate business problems into scalable AI solutions running on cloud platforms such as AWS.Key ResponsibilitiesDesign, develop, and deploy AI/ML solutions for enterprise applications.Build and optimize Generative AI applications using Large Language Models (LLMs).Design and implement Retrieval-Augmented Generation (RAG) pipelines.Develop AI Agents and workflow automation using modern AI frameworks.Fine-tune, evaluate, and optimize foundation models where applicable.Integrate AI capabilities into existing enterprise systems through APIs and microservices.Build scalable AI services on AWS cloud infrastructure.Develop and maintain ML pipelines and MLOps workflows for model training, deployment, monitoring, and lifecycle management.Collaborate with Product Managers, Solution Architects, Data Engineers, and Software Engineers throughout the SDLC.Evaluate emerging AI technologies and recommend suitable architectures and tools.Mentor junior engineers and promote AI engineering best practices.Ensure AI solutions meet security, scalability, performance, and compliance requirements.Job Qualification: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.At least 2.5 years of hands-on experience developing AI/ML solutions.Proven experience delivering production-grade AI applications.Preferred QualificationsExperience with Amazon Bedrock or Azure AI Foundry.Experience deploying LLMs in production environments.Knowledge of AI governance, Responsible AI, and AI security.Experience with multi-agent systems and orchestration frameworks.Experience building AI copilots, chatbots, or intelligent automation platforms.AWS Certified Machine Learning – Specialty or AWS Certified AI Practitioner is a plus.Experience in Healthcare, Financial Services, or other regulated industries is highly desirable.Soft SkillsStrong analytical and problem-solving skills.Excellent communication and collaboration abilities.Ability to work independently and lead technical initiatives.Passion for continuous learning and emerging AI technologies.Good written and spoken English.