Job Description

Overview:

We are seeking a highly experienced System Architect to lead the design and development of scalable, intelligent systems that leverage AI agents, LLMs, and multi-agent frameworks. The ideal candidate will have a strong background in system architecture, distributed systems, machine learning pipelines, and AI infrastructure. This role is critical to shaping our next-generation intelligent platform that integrates autonomous agents into real-world applications.

Key Responsibilities:

Architect and Design AI Systems: Design end-to-end system architecture for AI agents, including decision engines, memory structures, orchestration layers, and communication protocols. Multi-Agent System Design: Define standards, APIs, and messaging protocols for collaboration and coordination among AI agents (LLM-based or otherwise). Infrastructure and Scalability: Design scalable and fault-tolerant systems capable of handling high-volume AI workloads, real-time processing, and distributed deployments (cloud/hybrid/edge). Technology Stack Ownership: Lead selection and integration of appropriate AI frameworks, databases, orchestration tools, and infrastructure components (e.g., vector DBs, message queues, containerization, GPUs). Data Pipeline Integration: Collaborate with data engineering teams to ensure AI agents can access structured/unstructured data through optimized pipelines. Security & Compliance: Ensure architectural designs comply with data privacy, security standards (e.g., GDPR, HIPAA), and ethical AI practices.

Qualifications:

Required:

Bachelor's or Master's degree in Computer Science, Engineering, or related field. 7+ years in software/system architecture with at least 2 years in AI/ML-heavy environments. Experience designing and deploying intelligent systems using LLMs (OpenAI, Anthropic, Hugging Face, etc.). Solid knowledge of modern system design patterns including microservices, event-driven architectures, and agent-based modeling. Hands-on experience with: ? Python, TypeScript, or Go ? AI frameworks (LangChain, Haystack, RAG pipelines) ? Vector databases (Pinecone, Weaviate, FAISS) ? Orchestration tools (Airflow, Kubernetes, Ray) Familiarity with cloud platforms (AWS, GCP, Azure) and GPU/accelerator integration.
Job Types: Full-time, Permanent

Pay: From RM15,000.00 per month

Benefits:

Health insurance Opportunities for promotion Professional development
Work Location: Hybrid remote in Kuala Lumpur