AI Engineer (Senior Contributor – L3)
– Join Gotrade and Help Revolutionize Investing in Indonesia
A LITTLE ABOUT US
At Gotrade, we are on a mission to make the most amazing product experience for traders and investors in Indonesia.
ABOUT THE ROLE
We are looking for a
Senior AI Engineer (L3 – Senior Contributor level)
to join our engineering team, based in
Hangzhou or Shenzhen
.
In this role, you will
own outcomes
in AI-driven product areas, not just output. You'll design, build, and optimize machine learning systems that power Gotrade's user experience – from chat-based assistants to recommendation engines and fraud detection systems.
This is a
hands-on IC role
where you'll work closely with the CEO to bring AI models into production and drive measurable impact.
Location:
Full-time, on-site in
Hangzhou or Shenzhen
.
Key Responsibilities
- Develop and fine-tune
LLMs & Generative AI models
(LoRA, PEFT, QLoRA, RAG pipelines). - Implement
MLOps workflows
(CI/CD pipelines, model tracking with MLflow/W&B, scalable serving with BentoML, Ray Serve, Triton). - Build and optimize
data pipelines
for unstructured data (text, images, audio, video). - Deploy and manage
vector search systems
(Pinecone, Weaviate, Milvus, FAISS) for embeddings-driven applications. - Collaborate with cross-functional teams to apply AI in
applied domains
– chatbots, summarization, personalization, CV/ocr, multimodal systems. - Optimize inference performance (quantization, distillation, low-latency serving).
- Mentor junior engineers, suggest improvements, and proactively push for AI best practices.
Ideal Candidate Profile
- Thrives in
structured but evolving workflows
and can handle iterative ambiguity. - Comfortable
owning domain/process-level outcomes
, not just isolated tasks. - A strong
problem solver
who proactively improves systems and processes. - Strong collaboration mindset with ability to
initiate cross-team discussions
. - Analytical in communication – can summarize results and trade-offs clearly.
Requirements
- 2-4 years
of industry experience as an AI/ML Engineer (2–3 years in production AI). - Strong expertise in
Python
and
PyTorch
. - Solid hands-on experience with
LangChain
, or similar LLM frameworks. - Experience with
MLOps tools
(MLflow, W&B, Kubeflow, BentoML). - Knowledge of
vector DBs
(Pinecone, Milvus, FAISS) and data pipeline tools (Airflow, Spark). - Experience deploying ML services with
Docker/Kubernetes
and serving via FastAPI, Ray Serve, or Triton. - Familiarity with
cloud AI platforms
(AWS SageMaker, GCP Vertex AI, Alibaba Cloud PAI, or Huawei ModelArts). - Bonus: Experience in
C++ or Rust/Go
for inference/back-end efficiency. - Proficiency in English; Mandarin is a plus for local collaboration.
Why You Should Join Us
Ownership & Autonomy
– You'll own AI outcomes in a high-impact environment.
Meaningful Impact
– Shape the future of investing for millions in Indonesia.
Top-Tier Team
– Work with talented engineers, PMs, and data scientists across regions.
Cutting-Edge Tech
– Hands-on with LLMs, multimodal AI, and scalable ML infra.
AI工程师(高级贡献者 – L3)
– 加入 Gotrade,助力革新印度尼西亚的投资未来
关于我们
在 Gotrade,我们的使命是为印度尼西亚的交易者和投资者打造最卓越的产品体验。
关于该职位
我们正在寻找一名
高级AI工程师(L3 – 高级贡献者级别)
加入我们的工程团队,工作地点位于
杭州或深圳
。
在这个岗位上,您将
对AI驱动的产品领域结果负责,而不仅仅是产出
。您将设计、构建并优化机器学习系统,为 Gotrade 的用户体验提供支持——从对话助手到推荐引擎再到反欺诈系统。
这是一个
动手型的个人贡献者岗位
,您将与 CEO 密切合作,将 AI 模型投入生产并实现可衡量的影响。
地点
:全职,驻场于
杭州或深圳
。
主要职责
- 开发与微调
大型语言模型(LLMs)及生成式AI模型
(LoRA、PEFT、QLoRA、RAG pipelines)。 - 实施
MLOps 工作流
(CI/CD流水线、MLflow/W&B模型追踪、BentoML、Ray Serve、Triton 等可扩展部署)。 - 构建并优化处理非结构化数据(文本、图像、音频、视频)的
数据管道
。 - 部署与管理
向量检索系统
(Pinecone、Weaviate、Milvus、FAISS)以支持基于嵌入的应用。 - 与跨职能团队合作,将AI应用于
对话机器人、文本摘要、个性化推荐、计算机视觉/OCR、多模态系统
等领域。 - 优化推理性能(量化、蒸馏、低延迟服务)。
- 指导初级工程师,提出改进建议,并积极推动AI最佳实践。
理想候选人画像
- 能够在
结构化但不断演进的工作流程中茁壮成长
,并能处理迭代中的不确定性。 - 能够对
领域/流程级别的成果负责
,而不仅仅是完成单一任务。 - 具备
强大的问题解决能力
,能够主动改进系统和流程。 - 具备良好的
跨团队协作能力
,能够主动发起讨论。 - 具备
分析性沟通能力
,能够清晰总结结果与取舍。
任职要求
- 2–4年
AI/ML工程师相关行业经验(其中至少2–3年有生产环境AI经验)。 - 熟练掌握
Python
与
PyTorch
。 - 熟悉
LangChain
或其他类似LLM框架,并有实际项目经验。 - 使用过
MLOps工具
(MLflow、W&B、Kubeflow、BentoML)。 - 了解
向量数据库
(Pinecone、Milvus、FAISS)以及
数据管道工具
(Airflow、Spark)。 - 具备使用
Docker/Kubernetes
部署机器学习服务的经验,并熟悉 FastAPI、Ray Serve 或 Triton 部署。 - 熟悉
云端AI平台
(AWS SageMaker、GCP Vertex AI、阿里云PAI、华为ModelArts等)。 - 加分项:掌握
C++ 或 Rust/Go
,用于推理加速或后端效率优化。 - 具备良好的
英语能力
;懂
中文普通话
更佳,有助于本地团队协作。
为什么加入我们
高度自主权
– 在高影响力环境中,您将主导AI成果。
切实影响力
– 您的工作将影响数百万印度尼西亚投资者的未来。
顶尖团队
– 与来自不同地区的优秀工程师、产品经理和数据科学家协同合作。
前沿技术
– 深度参与 LLM、多模态AI、可扩展ML基础设施的实践。