AI Engineer

AI Development

·       Design, implement and quality assurance on AI-powered applications using LLMs, agent frameworks, RAG pipelines, and embedding models.

·       Build integrations between AI agents (such as OpenClaw) and enterprise systems (ERP, CRM, document stores, messaging platforms).

·       Develop APIs, microservices, and automation workflows that expose AI capabilities to customer applications.

Model Integration & Optimization

·       Integrate and benchmark commercial and open-source LLMs for enterprise use cases.

·       Implement prompt engineering, retrieval augmentation, context window management, and output validation.

·       Optimize inference latency, throughput, and cost per token across workloads.

Quality, Security & Governance

·       Implement guardrails, content filtering, and human-in-the-loop controls for enterprise deployments.

·       Ensure data residency, privacy compliance, and audit logging meet customer and regulatory requirements.

·       Document technical architecture and deployment playbooks for customer and internal use.

Job Requirements:

·       Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.

·       2 years or above of experience in software engineering, MLOps, or AI/ML system development.

·       Strong programming skills in Python. Experience with TypeScript, Go, or Java is a plus.

·       Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) and agent frameworks (LangChain, LlamaIndex, or equivalent).

·       Experience deploying and managing GPU-based workloads. Familiarity with CUDA, container orchestration (Kubernetes, Docker), and cloud infrastructure (AWS, Azure, or on-premise).

·       Understanding of vector databases, embedding models, and retrieval-augmented generation (RAG) architectures.

·       Experience with API design, microservices, and event-driven architectures.

·       Knowledge of monitoring, logging, and CI/CD tooling for production systems.

·       Strong problem-solving skills and ability to debug complex distributed systems.

·       Good communication skills in English and Cantonese; Mandarin is a plus.

·       Ability to work independently and collaboratively in cross-functional teams.