Senior AI / Platform Engineer
我们正在寻找一个专业的后端软件工程师，专注于 AI/ML 加入我们的团队。在这个角色中，你将负责设计，实施和维护主要在 Python 中的可扩展性后端服务。你的主要任务将包括为 AI/ML 应用程序构建和管理数据管道，以及运营和部署生成人工智能系统用于生产使用。· Python 中设计，实现和维护可扩展性的后端服务；· 构建和维护生产用例的 AI/ML 申请数据管道；· 操作和部署产生人工智能 （API,SDKs,管道）系统。·开发 APIs 来提供下游应用程序的 AI 功能。· 通过使用 LangChain,LangGraph 或定制解决方案进行调整的代理工作流程 ·确保 GenAI 服务的监控，记录和可观测性 · 跨功能合作以确保系统性能，扩展性和可靠性 注：· 这一职位适合具有大量接触到人工智能产品开发的实践软件工程师而不是数据科学或人工智能/ML 研究角色。· 我们正在寻找卓越运营优秀的人员，拥有部署经验，并拥有对真正的人工智能应用程序的系统水平思维。要求提供要求：· 5年以上作为后端开发人员的实际经验。Python · 强大的软件工程原则，清洁代码实践和测试方法知识 · 与 Python 后端框架的实际经验：FastAPI （首选）,Flask 或 Django ·与 SQL 数据库及相关 Python 图书馆的实际经历 ·与云平台的实践经验：Azure （首选）,AWS 或 GCP ·可扩展后端服务 （API,数据管道，SDK 等）的设计和实施经验 ·基于 AI 应用程序的建设和部署的实践体验，包括 LLM 和嵌入模型 （例如 OpenAI,Anthropic, Hugging Face）. ·熟悉基于检索增强代 (RAG) 系统，代理工作流程和生成人工智能应用程序 ·熟悉 Docker 的容器化开发 ·有数据科学 Python 库的经验，如熊猫，NumPy,Scikit-learn ·与 PythonGenAI 框架的经验 （例如 LangChain,LangGraph）是一个加倍 ·熟悉 GitLab 中的 CI/CD 工作流程是个加倍 ·对监控和记录工具 （例如 Prometheus, Grafana）的熟悉是一个加倍 ·了解高端 gRPC
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We are seeking a talented Backend Software Engineer with a focus on AI/ML to join our team. In this role, you will be responsible for designing, implementing, and maintaining scalable backend services primarily in Python. Your main tasks will involve building and managing data pipelines for AI/ML applications, as well as operationalizing and deploying Generative AI systems for production use.
- Design, implement, and maintain scalable backend services in Python
- Build and maintain data pipelines for AI/ML applications for production use-cases
- Operationalize and deploy Generative AI systems (APIs, SDKs, pipelines)
- Develop APIs to serve AI features to downstream applications
- Orchestrate agentic workflows using frameworks like LangChain, LangGraph, or custom solutions
- Ensure monitoring, logging, and observability of GenAI services
- Collaborate cross-functionally to ensure system performance, scalability, and reliability
Note:
- This position is ideal for a hands-on software engineer with significant exposure to AI product development, rather than a data science or AI/ML research role.
- We are looking for individuals who excel in operational excellence, have deployment experience, and possess systems-level thinking for real AI applications.
Requirements
Offer Requirements:
- 5+ years of practical experience as a Python backend developer
- Strong knowledge of software engineering principles, clean code practices, and testing methodologies
- Practical experience with Python backend frameworks: FastAPI (preferred), Flask or Django
- Practical experience with SQL databases and related Python libraries
- Hands-on experience with cloud platforms: Azure (preferred), AWS or GCP
- Experience designing and implementing scalable backend services (APIs, data pipelines, SDKs, etc.)
- Practical experience with building and deploying AI-based applications, including LLMs and embedding models (e.g., OpenAI, Anthropic, Hugging Face)
- Familiarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications
- Familiarity with containerized development with Docker
- Experience with data science Python libraries such as pandas, NumPy, Scikit-learn
- Experience with Python GenAI frameworks (e.g., LangChain, LangGraph) is a plus
- Familiarity with CI/CD workflows in GitLab is a plus
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus
- Familiarity with gRPC for high-performance service communication is a plus
- Familiarity with Model Context Protocol (MCP) is a plus
- Familiarity with AI observability and tracing tools (e.g., Langfuse) is a plus
Originally posted on Himalayas