AI Engineer

Hyphen Connect Limited; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Hyphen Connect Limited is seeking an AI Engineer to bridge cutting-edge model capabilities with tangible product value. You will own the AI lifecycle end-to-end, shaping model behavior and engineering surrounding systems for robust, scalable performance at real-world scale.

You will collaborate with product and engineering teams to ship production-ready features, orchestrate prompts and tools, and ensure deterministic behavior across pipelines while driving continuous improvement in accuracy and

Qualifications

• Strong foundation in machine learning principles and neural networks.
• Experience deploying large models to production.
• Proficient in writing clean, maintainable production code.

Responsibilities

• End-to-End Feature Delivery: Own the pipeline from raw model to user experience, shipping production-ready AI features.
• Agentic Design & Orchestration: Architect prompts, tool-use, memory retrieval, and autonomous agent workflows.
• Behavior Standardization: Turn raw model outputs into deterministic, dependable system behaviors.
• Full-Stack Troubleshooting: Debug issues across models, orchestration, infra, and UX.
• Performance Engineering: Optimize architecture for low latency, cost-efficiency, and uptime.
• Data-Driven Evaluation: Build lightweight frameworks to measure real-world model accuracy.
• Collaborative Problem Solving: Work with product and engineering teams to translate challenges into code and systems.

Skills

Python

Machine Learning

System design

Tools

PyTorch

JAX

OpenAI APIs

LLaMA

Qwen

vLLM

Vector databases

Job description

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.