[全职远程技术岗直聘🌍｜ WOO CeFi/Defi] 新年 HC： AI Team ： AI Product Eng (RAG/LLM)/AI Strategist /AI Product Eng/ AI Tech Product

本帖是企业直聘，我是 WOO 的 HR Amber 。

简历投递到： [email protected] 请写明职位和联系方式

欢迎推荐，推荐成功入职奖励 2000U

面试流程：

将您的简历投递到我的邮箱，（写明投递职位，简单说明您的工作履历）。2-3 个工作日会回复您，通过技术部门简历筛选，我会联系您先进行线上测试，然后进行 2-3 轮线上面试。

以下按招聘岗位及薪资范围、硬件条件要求、工作形式、公司介绍、岗位 JD ，详细说明。

一、本月 HC：

1 、AI Product Engineer (RAG/LLM)（月薪范围 RMB30-35k ）

2 、AI Strategist /Technologist （月薪范围 RMB30-35k ）

3 、Senior AI Product Engineer （月薪范围 RMB30-55k ）

4 、Senior AI Technical Product Manager （月薪范围 RMB30-55k ）

(篇幅有限 5-8 另开一篇帖子)

5 、QA Engineer （月薪范围 RMB20-45k ）

6 、Senior Backend Engineer (Java) （月薪范围 RMB30-55k ）

7 、Senior Frontend Engineer （月薪范围 RMB25-45k ）

8 、Senior Technical Support Engineer （月薪范围 RMB25-40k ）

公司有成熟且有激励性的薪酬评定体系，以及有竞争力的薪资及奖金 。

📍官方网站： https://woo.org/

公司招聘页面： https://boards.greenhouse.io/woo

招聘页面开放的职位均可投递到我邮箱

二、硬件条件

1 、英文需熟练掌握读写，工作中可以输出文档和日常工作沟通

2 、本科及以上学历，5 年以上工作经验（ AI Team 可以放宽到 1-3 年工作经验），需金融交易产品、交易所、或大厂（腾讯、字节、美团、阿里、华为）同岗位 2 年以上工作经验

三、工作形式

公司配备笔记本电脑、大陆员工全职远程办公。

周末及法定节假日正常休息，员工享有年假及体检津贴。

四、岗位具体信息

（一）、公司介绍：

Join us in leading the innovations in decentralized finance WOO democratizes access to top-tier liquidity and exceptional trading execution while keeping costs competitive. We take pride in our two platforms WOO X, a pioneering crypto exchange dedicated to transparency and trustworthiness, and WOOFi, a top 15 DEX by 24-hour volume. Our native token, $WOO offers token holders a unique position to participate, engage, and maximize the benefits of both the DeFi and CeFi ecosystem. Our team of highly-selected 170 employees works from 12 cities across eight countries in Europe and Asia 🚀

（二）各岗位 JD

[ 1 、AI Product Engineer (RAG/LLM)]

What You’ll Be Working On

Designing, developing, and optimizing Large Language Models (LLMs) from scratch or integrating major closed-source models (e.g., OpenAI, Anthropic) to power WOO’s AI product prototypes.

Developing sophisticated prompt engineering techniques and fine-tune models to achieve desired performance and functionality tailored to specific use cases within WOO’s ecosystem.

Conducting comprehensive performance benchmarking of various LLMs, utilizing model selection logic to choose the most effective models for different applications and ensuring optimal performance.

Integrating LLMs into Agentic platforms, enabling intelligent agent behaviors and enhancing user interactions across WOO’s DeFi and CeFi products.

Integrating LLMs with RAG systems to enhance the capabilities of LLMs, ensuring efficient retrieval of relevant information and improving the overall responsiveness and accuracy of AI solutions.

Designing and managing complex AI workflows, ensuring the smooth orchestration of various AI components and processes to deliver robust and scalable AI products.

Utilizing full-stack development skills to build and iterate on AI prototypes in an agile manner, rapidly testing and deploying new technologies to stay ahead in the competitive crypto industry.

Working closely with cross-functional teams, including AI engineers, data scientists, and product managers, to develop prototypes that align with business objectives and user needs in an agile development environment.

About You

Experience:

3+ years of experience in product engineering / technical product engineering, with a strong focus on AI product development, integration, and benchmarking. Proven experience in delivering solid tech and execution roadmaps in close coordination with TPMs from conception to launch, including hands-on experience with rapid prototyping and agile development.

Strong familiarity with mainstream AI development frameworks /tools while exhibiting the end-to-end capability to conduct product prototyping.

AI Expertise:

Proficient in selecting and deploying Large Language Models (LLMs) using open-source models (e.g., on Hugging Face), and closed-source models such as OpenAI and Anthropic APIs.

Experienced in fine-tuning LLMs and using acceleration libraries to optimize model performance for specific use cases and in production environments.

Skilled in benchmarking LLMs using industry metrics and leveraging relevant frameworks to ensure optimal model selection.

Expertise in integrating LLMs into Agentic platforms using frameworks such as Langchain and OpenAI Swarm.

Proficient in working with Retrieval-Augmented Generation (RAG) systems to enhance LLM information retrieval capability and accuracy.

Proficient with deep learning frameworks such as TensorFlow and PyTorch for developing and deploying machine learning models.

Core Skills:

Excellent communication, collaboration, and leadership abilities.Ability to inspire and drive cross-functional teams towards common goals.

Fluent in verbal and written English.

Crypto and Trading Knowledge (Optional /Good to have):

Familiarity with the cryptocurrency ecosystem, including DeFi and CeFi platforms is highly desirable.

Understanding of crypto trading mechanics and the ecosystem is highly desirable.

[ 2 、AI Strategist /Technologist ]

What You’ll Be Working On

Serving as the primary strategy liaison between the AI TPM, AI engineering team, and external partners to ensure cohesive AI initiatives.

Ensuring that all AI initiatives are strategically aligned with WOO’s overarching business objectives through continuous collaboration and strategic oversight.

Maintaining comprehensive documentation of AI strategies, research findings, and strategic plans to support transparency and informed decision-making Developing and articulating comprehensive AI strategies that align with WOO’s mission and business goals. Working closely with the AI TPM and Head of AI to formulate strategies that drive rapid prototyping and seamless handoff to the product team.

Conducting in-depth research on AI trends in the market, industry, and technology to inform strategic decision-making and maintain WOO’s competitive edge.

Crafting and communicating WOO’s AI narrative to support fundraising efforts, investor relations, and external engagements. Representing WOO in external AI-related engagements and investment opportunities, fostering relationships with key stakeholders and partners.

About You

Experience:

5+ years of experience in management consulting, tech investment, investment banking or product management, with a strong focus and coverage on AI, Enterprise Software, Blockchain Tech, and Cloud.

Demonstrated ability to conduct comprehensive AI trend research and translate findings into actionable strategies and product requirements.

Experience with direct investment and financial analysis for tech and the crypto industry, including external-facing investor relationship management, and fundraising.

Strong background in Engineering (e.g., Computer Science, Electrical Engineering, Financial Engineering, Statistics etc.) with prior experiences in software engineering and building actual products /prototypes.

General Expertise:

Deep understanding of emerging AI technologies, industry trends, and tech stacks. Deep coverage on AI applications and emerging business models.

Well-versed in technical engagements, influencing tech directions, and product development decisions.

Strong capability in shaping AI narratives, implementation strategies and possess the experience in articulating pilot initiatives from conception to production.

Leadership /Core Skills:

Excellent communication, collaboration, and leadership abilities.Ability to inspire and drive cross-functional teams towards common goals.

Strategic and hypothesis-driven mindset; comfortable working under extreme ambiguity.

C-level communication and presentation readiness Fluent in verbal and written English.

Crypto and Trading Knowledge (Optional /Good to have):

Familiarity with the cryptocurrency ecosystem, including DeFi and CeFi platforms is highly desirable.

Understanding of crypto trading mechanics and the ecosystem is highly desirable.

[ 3 、Senior AI Product Engineer ]

What You’ll Be Working On

Designing, developing, and optimizing Large Language Models (LLMs) from scratch or integrating major closed-source models (e.g., OpenAI, Anthropic) to power WOO’s AI product prototypes.

Developing sophisticated prompt engineering techniques and fine-tune models to achieve desired performance and functionality tailored to specific use cases within WOO’s ecosystem.

Conducting comprehensive performance benchmarking of various LLMs, utilizing model selection logic to choose the most effective models for different applications and ensuring optimal performance.

Integrating LLMs into Agentic platforms, enabling intelligent agent behaviors and enhancing user interactions across WOO’s DeFi and CeFi products.

Integrating LLMs with RAG systems to enhance the capabilities of LLMs, ensuring efficient retrieval of relevant information and improving the overall responsiveness and accuracy of AI solutions.

Designing and managing complex AI workflows, ensuring the smooth orchestration of various AI components and processes to deliver robust and scalable AI products.

Utilizing full-stack development skills to build and iterate on AI prototypes in an agile manner, rapidly testing and deploying new technologies to stay ahead in the competitive crypto industry.

Working closely with cross-functional teams, including AI engineers, data scientists, and product managers, to develop prototypes that align with business objectives and user needs in an agile development environment.

About You

Experience:

5+ years of experience in product engineering / technical product engineering, with a strong focus on AI product development, integration, and benchmarking.

Proven experience in delivering solid tech and execution roadmaps in close coordination with TPMs from conception to launch, including hands-on experience with rapid prototyping and agile development.

Strong familiarity with mainstream AI development frameworks /tools while exhibiting the end-to-end capability to conduct product prototyping.

AI Expertise:

Proficient in selecting and deploying Large Language Models (LLMs) using open-source models (e.g., on Hugging Face), and closed-source models such as OpenAI and Anthropic APIs.

Experienced in fine-tuning LLMs and using acceleration libraries to optimize model performance for specific use cases and in production environments.

Skilled in benchmarking LLMs using industry metrics and leveraging relevant frameworks to ensure optimal model selection.

Expertise in integrating LLMs into Agentic platforms using frameworks such as Langchain and OpenAI Swarm.

Proficient in working with Retrieval-Augmented Generation (RAG) systems to enhance LLM information retrieval capability and accuracy.

Proficient with deep learning frameworks such as TensorFlow and PyTorch for developing and deploying machine learning models.

Leadership /Core Skills:

Excellent communication, collaboration, and leadership abilities.Ability to inspire and drive cross-functional teams towards common goals.

“Get-it-done” mindset - the tendency to execute at light speed and comfortable to make hypothesis-driven judgements and technical decisions

Fluent in verbal and written English.

Crypto and Trading Knowledge (Optional /Good to have):

Familiarity with the cryptocurrency ecosystem, including DeFi and CeFi platforms is highly desirable.

Understanding of crypto trading mechanics and the ecosystem is highly desirable.

[ 4 、Senior AI Technical Product Manager ]

What You’ll Be Working On

Leading the AI engineering team to develop and implement our AI strategy using cutting-edge technologies like Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic platforms.

Collaborating with senior management to convert board-level AI initiatives into detailed product requirements and rapid prototyping sprints.

Overseeing the AI engineering team in creating pre-production artifacts through agile-based rapid prototyping sprints.

Ensuring seamless integration of AI technologies with WOO’s products to enhance user experiences across DeFI and CeFi.

Offering technical guidance on AI architecture, particularly with Agentic platforms, and aligning AI initiatives with business goals through cross-functional teamwork.

Developing and enforcing best practices for AI product development, including data governance, model evaluation, and ethical standards.

Monitoring AI product performance metrics and utilize data-driven insights to continuously enhance AI functionalities.

Working closely with cross-functional teams, including AI engineers, data scientists, and product managers, to develop prototypes that align with business objectives and user needs in an agile development environment.

About You

Experience:

7+ years of experience in product management /technical product management, with a strong focus on AI product development, technical product management, integration and benchmarking.

Proven experience in leading AI projects from conception to launch, including hands-on experience with rapid prototyping and agile development.

Demonstrated ability to translate high-level strategies into technical product requirements and actionable development plans.

Experience working in a startup or fast-paced, agile environment and proficient with agile methodologies and rapid prototyping techniques.

AI Expertise:

Deep understanding of emerging AI technologies and tech stacks.

Ability to collaborate and guide AI engineers to develop AI product prototypes.

Experiences in:

Large Language Models (LLMs) - deployment and optimization of open-sourced models /SOTA API-based LLM integration, prompt engineering.

Retrieval Augmented Generation (RAG) - embedding system architecture, /framework construction, retrieval backend system integration and performance optimization.

Agentic Platforms /Toolchains - Langchain, OpenAI Swarm and other open-source platforms.

Leadership /Core Skills:

Excellent communication, collaboration, and leadership abilities.Ability to inspire and drive cross-functional teams towards common goals.

Strategic and hypothesis-driven mindset; comfortable working under extreme ambiguity Fluent in verbal and written English.

Crypto and Trading Knowledge (Optional /Good to have):

Familiarity with the cryptocurrency ecosystem, including DeFi and CeFi platforms is highly desirable.

Understanding of crypto trading mechanics and the ecosystem is highly desirable.