高级 Python AI 工程师 (全远程/需在中欧时区/高薪稳定)
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项目概要
职位名称:
高级 Python AI 工程师 (全远程/需在中欧时区/高薪稳定)
语言:
地点:
远程
薪酬:
编号:
J-F-2025-932245
合同类型:
固定职位
发布日期:
2025年12月10日
行业:
英语
截止日期:
雇主:
Proxify
项目详情
参考翻译*免责声明

高级 Python AI 工程师

Proxify
远程
全球任意地点
合同制


关于我们:

人才没有边界。Proxify 的使命是将全球顶尖开发者与他们应得的机会连接在一起。所以,无论你身在何处,我们都致力于帮助你将独立职业发展快速推进到正确的方向上。

自成立以来,Proxify 的开发者已成功与 1200+ 名满意客户合作,参与产品开发与增长功能构建。5000+ 名优秀开发者信任 Proxify 及其网络,以实现他们的职业梦想与目标。

Proxify 由一个全球性的支持型高端开发者网络组成,大家对全职远程工作充满兴趣。我们的 Glassdoor4.5/5)与 Trustpilot4.8/5)评分反映了开发者对我们的信任,以及我们对成员成功的承诺。


职位:

我们正在寻找一位加入我们快速增长网络的 高级 Python AI 工程师,负责设计与开发 AI 驱动应用的后端系统与 API。你将在设计和构建可扩展后端系统与 API 中发挥关键作用,并与跨职能团队紧密合作,推动跨平台数据驱动产品的未来。


我们在寻找的人选:

  • 精通      Python5 年以上经验),熟悉现代框架(FastAPIFlaskDjango      之一)。

  • 熟练使用深度学习框架(PyTorchTensorFlow)进行超越      LLM API 的自定义建模。

  • 有使用大型语言模型(LLM)经验,如      GPTGeminiLLaMA      或类似模型。

  • 熟悉原型开发工具:StreamlitGradio

  • 拥有扎实的      RESTful API 与微服务架构设计经验。

  • 有强大的后端开发经验,包括      SQL/NoSQL 数据库。

  • 熟悉版本控制(Git)与      CI/CD 工作流。

  • 有容器化经验(Docker,最好还有      Kubernetes)。

  • 熟悉云平台(AWSAzure       GCP)更佳。

  • 熟悉处理敏感数据的安全最佳实践。

  • 具备解决复杂挑战与性能瓶颈的强大问题解决能力。

  • 具备优秀的技术沟通能力,能与跨团队合作并向非技术人员解释技术概念。

  • 能够在独立工作时仍与团队整体目标保持一致。

  • 英语中高级水平。

  • 时区要求:CET(中欧时间)±3      小时。其他时区的申请将无法考虑。


AI/ML LLM 生态经验:

  • LLM 编排框架:LangChainLangGraphLlamaIndex

  • RAG(检索增强生成)管线设计。

  • 使用向量数据库:PineconeWeaviateMilvusChromaFAISS

  • 使用      LLM APIOpenAIGPT-5/5-mini)、Anthropic      ClaudeGoogle      GeminiMeta      LlamaMistral

  • 熟悉使用      AWS Bedrock 访问和部署基础模型。

  • Prompt      工程与结构化输出设计(JSON      模式、函数调用)。

  • 有模型微调(LoRAQLoRA)与评估框架(DeepEvalRagas)经验。


主要职责:

  • AI 驱动应用设计并开发后端系统与      API

  • 构建并优化基于      LLM 的工作流,包括聊天机器人、协作助手、自动化工具等。

  • 使用向量数据库和文档管线实现      RAG 架构。

  • 集成与编排云端托管的基础模型(AWS      BedrockOpenAIAnthropicGoogle      GeminiMeta      LlamaMistral)。

  • 与数据科学家、产品经理、前端开发人员跨团队协作,交付端到端的      AI 产品。

  • 确保 AI      解决方案在生产环境中的性能、可扩展性与成本优化。

  • 监控、评估并持续改进已部署的      AI 系统。


我们提供:

按时付款,拒绝踩坑

再也不用面对不靠谱的客户。我们提供按月准时付款,并提供灵活提款方式。

可预测的项目时长

享受稳定的每天 8 小时客户工作时长,实现工作与生活的平衡。

弹性休假日,帮助你恢复精力

对于通过 Proxify 找到的全职岗位,每年可享受最多 24 天带薪弹性假期。

加速职业发展的尖端公司职位

探索全球最令人兴奋公司的独家长期远程岗位。

为你量身挑选机会

跳过传统招聘中的阻碍与偏见,获得与个人技能高度匹配的职位。

一次流程,多次机会

一次合同流程即可通向持续的职位机会,不需要额外测试。

薪资保障

通过 Proxify 获得的岗位,确保每月稳定薪酬。

申请链接:

https://remote.com/jobs/proxify-c114ohln/senior-python-ai-engineer-j172ad3x

原文

Senior Python AI Engineer

Proxify

Remote

Anywhere

Contract

About us:

 

 

 

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast track your independent career in the right direction.

 

 

 

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

 

 

 

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

 

 

 

The Role:

 

 

 

We are looking for a Senior Python AI Engineer to join our fast growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms.

 

 

 

 

 

What we are looking for:

 

 

 

Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django).

 

Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs.

 

Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar.

 

Experience with prototyping tools: Streamlit, Gradio

 

Solid experience designing RESTful APIs and microservice architectures.

 

Strong backend development expertise, including databases (SQL/NoSQL).

 

Experience with version control (Git) and CI/CD workflows.

 

Hands-on experience with containerization (Docker, ideally Kubernetes).

 

Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

 

Understanding of security best practices for handling sensitive data.

 

Strong problem-solving skills to address complex challenges and performance bottlenecks.

 

Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders.

 

Ability to work independently while aligning with broader team goals.

 

Intermediate-advanced English level.

 

Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.

 

 

 

AI/ML & LLM Ecosystem:

 

 

 

LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex.

 

Retrieval-Augmented Generation (RAG) pipeline design.

 

Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS).

 

Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral.

 

Familiarity with AWS Bedrock for accessing and deploying foundation models.

 

Prompt engineering and structured output design (JSON mode, function calling).

 

Model fine-tuning (LoRA, QLoRA) and evaluation frameworks (DeepEval, Ragas).

 

 

 

Responsibilities:

 

 

 

Design and develop backend systems and APIs for AI-powered applications.

 

Build and optimize LLM-based workflows, including chatbots, copilots, and automation tools.

 

Implement RAG architectures using vector databases and document pipelines.

 

Integrate and orchestrate cloud-hosted foundation models (AWS Bedrock, OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral).

 

Collaborate cross-functionally with data scientists, product managers, and frontend developers to deliver end-to-end AI products.

 

Ensure performance, scalability, and cost optimization of AI solutions in production environments.

 

Monitor, evaluate, and continuously improve deployed AI systems.

 

 

 

What we offer:

 

 

 

Get paid, not played

 

No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.

 

 

 

Predictable project hours

 

Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.

 

 

 

Flex days, so you can recharge

 

Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.

 

 

 

Career-accelerating positions at cutting-edge companies

 

Discover exclusive long-term remote positions at the world's most exciting companies.

 

 

 

Hand-picked opportunities just for you

 

Skip the typical recruitment roadblocks and biases with personally matched positions.

 

 

 

One seamless process, multiple opportunities

 

A one-time contracting process for endless opportunities, with no extra assessments.

 

 

 

Compensation

 

Enjoy the same pay, every month with positions landed through Proxify.

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