AI Engineer
2 weeks ago
Hong Kong, Hong Kong SAR China
Hyphen Connect
Full-time
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As an AI Engineer, your mission is to bridge the gap between cutting-edge model capabilities and tangible product value. You will own the AI lifecycle end-to-end—shaping model behavior, engineering the surrounding systems, and ensuring flawless performance at scale. This cross-functional role sits at the intersection of machine learning, system architecture, and product design, with a singular focus: making AI robust, reliable, and deeply impactful for real-world users, not just in demos.
Core Responsibilities
- End-to-End Feature Delivery: Own the entire pipeline from raw model to user experience, building and shipping production-ready AI features.
- Agentic Design & Orchestration: Architect, iterate, and optimize prompts, tool-use, memory retrieval, and autonomous agent workflows.
- Behavior Standardization: Transform unpredictable, raw model outputs into structured, deterministic, and dependable system behaviors.
- Full-Stack Troubleshooting: Debug and resolve complex issues across the entire stack—spanning models, orchestration layers, infrastructure, and the UX.
- Performance Engineering: Fine-tune system architecture for minimal latency, optimal cost-efficiency, and high production uptime.
- Data-Driven Evaluation: Build and implement lightweight, effective evaluation frameworks to continuously measure and improve real-world model accuracy.
- Collaborative Problem Solving: Partner with product and engineering teams to turn ambiguous, high-level challenges into functional code and systems.
Technical Toolkit
- Languages: Python
- Frameworks: PyTorch, JAX
- Models: Commercial and open-source LLMs (OpenAI APIs, LLaMA, Qwen, etc.)
- Infrastructure: Inference and serving frameworks (e.g., vLLM)
- Data: Vector databases and retrieval systems
Who You Are
- ML Foundations: You possess a deep understanding of machine learning principles and modern neural network architectures.
- Practical Experience: You have a proven track record of training, fine-tuning, or deploying large models into production environments.
- Software Craftsmanship: You write clean, maintainable, and production-grade code.
- Full-Stack Adaptability: You easily pivot across different abstraction layers, moving comfortably from low-level model infra to high-level product logic.
- Thrives in Ambiguity: You are a natural problem solver who excels in fast-paced, rapidly evolving startup environments.
- Execution Mindset: You maintain a strong bias toward action, rapid iteration, and continuous shipping.