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Open nowFirst seen 2 hours ago

AI Engineer

Hyphen Connect71 open roles

Where
Hong Kong, Hong Kong SAR, Remote
Work mode
Remote
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Your applicationOpen nowAI EngineerHyphen Connect · Hong Kong, Hong Kong SAR, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hyphen Connect's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 2 hours ago

The posting

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.
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One press. We do the rest.

  1. A CV for this posting

    Written against Hyphen Connect's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Hyphen Connect's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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