Backend Engineer, AI (Agent Systems)

Responsibilities: Build, deploy, and operate backend systems that power AI-enabled features in production. Design and implement inference pipelines, orchestration layers, and service boundaries around AI models. Ensure production reliability through monitoring, logging, alerting, and incident response. Optimise latency and throughput across inference, caching, batching, and streaming workloads. Develop scalable, reliable backend systems capable of handling high-volume AI workloads with low latency and high throughput. Build stable and well-designed APIs that integrate seamlessly with frontend and machine learning systems. Monitor production environments, troubleshoot incidents, and implement continuous improvements to enhance system performance, scalability, and reliability. Requirements: Proven experience in full stack software engineering, covering both frontend and backend development. Strong understanding of software architecture, system design, and API development. Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or AI-powered applications. Ability to make sound engineering decisions in ambiguous and rapidly evolving environments. Strong ownership mindset with the ability to take features from concept through to production deployment. Comfortable working in a fast-paced environment with evolving business and technical requirements. Technical Stack: Python Node.js PyTorch OpenAI, Anthropic, and open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker To apply, please visit and search for Job Reference:

63R9X8Y5 To learn more about this opportunity, please contact Yingying at (HIDDEN TEXT) We regret that only shortlisted candidates will be notified. GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239