Generative AI Engineer

Key Responsibilities Design, engineer, and deploy production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic architectures

Build, maintain, and scale backend services, microservices, APIs, and SDKs that power enterprise AI applications

Own end-to-end AI solution engineering from architecture design through deployment and operational support

Implement AI Ops and DevOps best practices, including CI/CD pipelines, automated testing, deployment, monitoring, and system optimisation

Develop and maintain cloud and hybrid AI infrastructure (AWS or equivalent), ensuring scalability, reliability, and security

Partner with product, data science, and business teams to translate functional requirements into robust technical implementations

Ensure AI platforms and services comply with enterprise risk, security, and governance standards

Conduct technical design reviews, identify system optimisation opportunities, and contribute to engineering best practices

Key Requirements

Strong hands-on experience in AI engineering and Generative AI systems, including LLM integration, RAG pipelines, prompt orchestration, and agentic frameworks

Proven experience building and operating production-grade systems rather than research-only or experimentation-focused solutions

Experience from POCs to production grade is essential

Solid software engineering background with experience in Python, SQL, and backend API development

Experience designing and deploying scalable, fault-tolerant systems using microservices architecture

Practical experience with cloud platforms and hybrid environments

Experience implementing DevOps / AI Ops practices, including CI/CD, monitoring, logging, and incident management

Strong collaboration and communication skills, with experience working across global and cross-functional teams

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative discipline

Significant professional experience in AI engineering, platform engineering, or full-stack development

Prior experience in regulated or enterprise-scale environments is highly advantageous

Relevant certifications in cloud platforms, AI/ML technologies, or DevOps tooling are a plus

For more information you can contact Norean Tan at [HIDDEN TEXT]

We regret to inform you that only shortlisted candidates will be notified / contacted.

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086