AI Engineer (Junior-Senior)

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As a AI Engineer, you will develop, maintain, test and evaluate various AI applications for various business use cases across different departments. You will also be involved in the design of other solutions, matching capabilities to priority business challenges. Key Responsibilities: 1. Work closely with business stakeholders to develop innovative AI application using various AI technology, e.g., RAG, workflow and AI agent. Bring the AI application from prototyping to production with proper evaluation and testing throughout the software development life cycle (SDLC). Develop services and integrate them with internal and external APIs / MCPs to power AI applications. Work closely with Data Scientists, Platform Engineers and Product Owners to deliver AI application in a continuous delivery environment. Keep pace with new technologies and use them whenever appropriate. Qualifications: University degree in computer science, software engineering, or related fields At least 1 year experience in data science, software engineering or AI engineering Experience in delivery of RAG application or other AI application is a preferable Experience in public cloud platform (AWS, Azure, AliCloud) and having any relevant certification is a preferable Experience in system design and software development lifecycle is a preferable. Experience with MLOps/LLMOps in a large scale enterprise environment is a preferable Experience in the following technology stack is preferable Programming: Python, SQL AI Orchestration: Langchain, LlamaIndex, Dify, n8n, etc. Vector DB: Milvus, ElasticSearch, Qdrant, etc. LLM: OpenAI, Deepseek, etc. Data Engineering: Airflow, Spark Infrastructure: Docker, Terraform, Kubernetes CICD Suite: Jenkins, JIRA, Sonar, Git, Ansible Test Framework: jMeter, jUnit, PyTest Experience in working in an international team, with solid grounding in financial service is a plus Excellent communication skills and data driven thinking capabilities Team management and problem-solving skills; self-motivated, creative, and with a proven track record in developing and driving firm-wide initiatives Originally posted on Himalayas

作为一名AI工程师，你将负责为不同部门的各类业务场景开发、维护、测试和评估各种AI应用。你还将参与其他解决方案的设计，将能力与优先业务挑战相匹配。主要职责：1. 与业务利益相关者紧密合作，利用各种AI技术（例如RAG、workflow和AI agent）开发创新的AI应用。在软件开发生命周期（SDLC）中通过适当的评估和测试，将AI应用从原型阶段推进到生产阶段。开发服务并将其与内部和外部API / MCP集成，以驱动AI应用。与Data Scientists、Platform Engineers和Product Owners紧密合作，在持续交付环境中交付AI应用。紧跟新技术，并在适当的时候加以使用。任职资格：计算机科学、软件工程或相关领域的大学学位。至少1年数据科学、软件工程或AI工程经验。有交付RAG应用或其他AI应用的经验者优先。有公有云平台（AWS、Azure、AliCloud）经验并持有任何相关认证者优先。有系统设计和软件开发生命周期经验者优先。有在大型企业环境中使用MLOps/LLMOps的经验者优先。有以下技术栈经验者优先 编程：Python、SQL AI编排：Langchain、LlamaIndex、Dify、n8n等 向量数据库：Milvus、ElasticSearch、Qdrant等 LLM：OpenAI、Deepseek等 数据工程：Airflow、Spark 基础设施：Docker、Terraform、Kubernetes CICD套件：Jenkins、JIRA、Sonar、Git、Ansible 测试框架：jMeter、jUnit、PyTest 有在国际团队中工作的经验，并具备金融服务领域的扎实基础者优先。出色的沟通能力和数据驱动思维能力。团队管理和问题解决能力；自我驱动、富有创造力，并具有开发和推动公司范围计划的 proven track record。Originally posted on Himalayas

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