<div class="content-intro"><p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"> </p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together</p> <p> </p></div><p><strong>🌟</strong><strong> Hiring: Senior/Junior AI Engineers (Client Location) | New Era Technology </strong><strong>🌟</strong></p> <p><strong>Client Location: Kuala Lumpur, Malaysia<br>Company: New Era Technology – </strong><a href="http://www.neweratech.com"><strong>www.neweratech.com</strong></a><strong><br>Work Type: Full-Time</strong></p> <p><strong>Employment: Permanent</strong></p> <p><strong>🚀</strong><strong> About the Role:</strong></p> <p><strong>New Era Technology is looking for experienced Senior/Junior AI Engineers to be deployed at our prestigious client in Malaysia at their </strong><strong>Shah Alam, Selangor</strong><strong> </strong><strong>office.</strong></p> <p> </p> <p><strong>Senior AI Engineer</strong></p> <p><strong> About the Role</strong></p> <p>As a Senior AI Engineer, you will take end-to-end ownership of services on our AI Platform — a serverless, AWS-native platform that powers AI and machine learning across insurance operations. The platform supports both generative AI services (LLM-based document processing, extraction, classification, RAG, and chatbots) and custom ML models trained in-house (SageMaker pipelines, classical ML, and computer vision), served through a shared, governed infrastructure. You will make sure the key technical and design decisions — spanning Terraform infrastructure, CI/CD, model training and integration, inference, monitoring, and downstream integration — while ensuring that it meets our AI governance and Responsible AI standards.</p> <p>You will lead the delivery of new AI initiatives across the organization — including fraud detection, document processing and intelligent extraction, claims and underwriting automation, and AI for operations — driving each from requirements and architecture through to a production, monitored deployment. As one of the experienced engineers on the team, you will set the technical direction and quality bar through hands-on design and code review, and help other engineers grow.</p> <p><strong>Responsibilities</strong></p> <ol> <li>Solution architecture ownership. Own the solution architecture for AI services and new initiatives — make and document technology and design decisions, define integration patterns across services, and ensure solutions align with platform standards, security, and AI governance.</li> <li>Technical leadership & mentoring. Mentor and support other engineers, share knowledge across the team, and help grow AI/ML capability. Set and uphold engineering best practices through code and architecture review.</li> <li>Architecture & code review. Review designs and code from the team to ensure quality, maintainability, security, and consistency with platform standards, and provide constructive, actionable feedback.</li> <li>Deliver new AI projects. Take new initiatives from concept to production across areas such as fraud detection, document processing and intelligent extraction, underwriting automation, and AI for operations. Gather requirements, design the solution and architecture, build it on the shared platform, and hand it over as a monitored, governed production service.</li> <li>Platform engineering & IaC. Implement and enhance the AI and analytics platform using Infrastructure as Code with Terraform. Keep changes aligned with existing VPC, IAM, API Gateway, and data-layer architecture.</li> <li>End-to-end ML/AI lifecycle. Manage models across the full lifecycle. This covers training and deploying custom ML models (e.g. classification, regression, object detection / computer vision) via our SageMaker MLOps pipeline (preprocess → train → evaluate → conditionally register), as well as integrating LLM as needed. Cover model import, training, evaluation, deployment, inference execution, monitoring, and integration of outputs into downstream applications and automation workflows.</li> <li>Serverless AI pipelines. Build scalable, serverless AI and data processing pipelines on AWS.</li> <li>Generative AI solutions. Develop and integrate GenAI features — LLM-based classification and extraction, document/case analysis, RAG, and chatbots — into operational w