Senior AI / Platform Engineer（远程职位）

这条招聘信息来自 AMS Accelerate IT，岗位是 Senior AI / Platform Engineer：这是高级职位，公司期待由你自己拿主意。职位属于「IT 与编程」类别，完全远程。公司不限制候选人的居住地，在任何地方都可以申请。

招聘信息里列出的主要工具是：Python、AWS、Docker、SQL。简历上最好能给出正是这几项能力的具体例子。

公司没有公布具体数字，这一项会在面试时谈定。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

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