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.