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【全职远程】Backend engineer | 3K ~ 5K $ | AI方向初创公司

UnknownCompany

¥2.4k - ¥3.6k / 月
发布于 1 月前
engineering全职远程办公
远程

岗位摘要

这是一家早期AI初创公司招聘后端工程师的职位,专注于构建智能系统以解决信任与安全、欺诈和合规等复杂问题。候选人需要精通Python和AWS技术栈,负责设计和构建高性能后端服务与API,支持AI产品的开发和部署。要求具备3年以上后端系统开发经验,熟悉微服务架构、无服务器技术和基础设施即代码。

技能要求:

Backend EngineerPythonAWSLambdaAPI GatewayDynamoDBS3FastAPIFlaskDjangoRESTful APIsMicroservicesServerlessDockerTerraformCI/CDLLMAI

岗位职责

We’re an early-stage AI startup building intelligent systems from the ground up — reimagining how humans and machines collaborate to solve complex problems in trust & safety, fraud, and compliance. Our mission is to automate the manual review process and boost the productivity of human reviewers by leveraging LLMs, automation, and scalable cloud infrastructure. We’re looking for a Backend Engineer who’s fluent in Python and experienced with AWS technologies like Lambda, API Gateway, DynamoDB, and S3. You’ll design and build high-performance backend services and APIs that power our AI products, working closely with other engineers to deploy and scale intelligent automation workflows. You’ll own major components of our architecture, from data pipelines to serverless infrastructure, helping us deliver reliable, secure, and scalable solutions from day one. Requirements: ● 3+ years of experience building and scaling backend systems. ● Strong proficiency in Python and frameworks like FastAPI, Flask, or Django. ● Deep understanding of AWS services — Lambda, API Gateway, S3, DynamoDB, SQS/SNS, IAM, CloudWatch. ● Experience designing and integrating RESTful APIs and microservices. ● Familiarity with serverless architectures and asynchronous processing. ● Strong grasp of software design principles, scalability, and distributed systems. ● Proficiency in CI/CD, Docker, and infrastructure-as-code (Terraform/CDK). ● Excellent debugging, testing, and performance optimization skills. ● Ownership mindset and ability to work in a fast-paced startup environment. ● Bonus: experience integrating backend services with LLM-powered systems or data pipelines.

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