全职 Senior AI Engineer 工作, 薪水, AEON Credit Service (M) Berhad Federal Territory 公司招聘中 - Ricebowl

We are seeking a highly skilled Senior AI Engineer to design, build, and deploy intelligent AI solutions across the organization. This role focuses on hands-on development of GenAI, Agentic AI systems, and scalable ML solutions, supported by strong MLOps practices.

The Senior AI Engineer works closely with Data Scientists, Data Engineers, and business stakeholders to translate use cases into reliable, production-ready AI systems, contributing to the growth of AI engineering capabilities within the team.

Job Description:

• AI Solution Design & Development: Design and implement scalable AI solutions, including LLM-based applications, Agentic AI systems, and traditional ML models. Translate business requirements into robust and production-ready technical solutions aligned with enterprise architecture standards.
• Agentic AI Implementation: Build and enhance Agentic AI systems capable of reasoning, planning, tool usage, and multi-step workflows. Implement prompt strategies, memory handling, orchestration logic, and integrations with external tools and APIs.
• MLOps Implementation: Develop and maintain MLOps pipelines in collaboration with Data Scientists, including experiment tracking, model versioning, CI/CD pipelines, and reproducibility practices. Support smooth transition of models from development to production.
• Deployment & Platform Integration: Deploy AI solutions into cloud and enterprise environments. Work with platform and DevOps teams to integrate AI systems with enterprise infrastructure while ensuring reliability and scalability.
• Monitoring, Observability & Feedback Loops: Own runtime monitoring of AI systems, including model performance, agent behavior, drift, cost, latency, and failure modes. Work with Data Scientists to design feedback loops that inform retraining, prompt refinement, and continuous improvement.
• AI Governance, Risk & Responsible AI: Apply governance standards, guardrails, and evaluation frameworks to ensure AI solutions are reliable, explainable, and compliant with internal policies. Identify risks and implement mitigation measures for AI systems.
• Stakeholder Collaboration: Collaborate with business stakeholders, Data Scientists, and engineers to refine use cases, prioritize requirements, and deliver AI solutions that drive business value. Communicate technical concepts clearly to non-technical audiences where needed.
• Technical Contribution & Knowledge Sharing: Contribute to engineering best practices, reusable components, and documentation. Support junior engineers and share knowledge on AI engineering, GenAI patterns, and MLOps practices.

Job Requirements:

• Bachelor’s degree (or higher) in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field
• At least 4 years of hands-on experience in AI engineering, ML engineering, or applied AI roles
• Strong proficiency in Python with experience building and deploying production AI systems
• Hands-on experience with LLMs, GenAI applications, Agentic AI patterns, and prompt engineering
• Proven experience implementing MLOps practices, including CI/CD and model lifecycle management
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and AI/ML tooling
• Solid understanding of machine learning fundamentals, APIs, and system design
• Strong collaboration and communication skills to work across Data Science, Engineering, and Business teams
• Practical understanding of AI governance, model monitoring, and responsible AI principles