AI Software Engineering

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities/ 工作职责 :

Summary

We are seeking a highly skilled AI Software Engineer specializing in API automation to design, develop, and maintain the infrastructure required to collect, process, and manage large-scale data for AI applications. This role focuses on developing API integrations for automating data pipelines and ensuring scalable access to AI-ready datasets.

You will collaborate closely with data engineers, data scientists, and DevOps teams to build these APIs that fuel AI / Machine Learning (ML) models. The ideal candidate has strong software development, API design, and data pipeline automation skills, along with a deep understanding of AI-driven data needs.

Essential Duties and Responsibilities

• Develop and manage API-based data ingestion pipelines to collect structured and unstructured data from third-party sources.
• Integrate with external APIs (REST, GraphQL, gRPC) and internal data services to automate data retrieval.
• Build custom APIs to provide AI teams with seamless access to curated datasets.
• Implement real-time data streaming solutions using Kafka, WebSockets, or RabbitMQ
• Develop event-driven architectures for data ingestion using cloud-native tools (AWS Lambda, Google Cloud Functions).
• Work with SQL/NoSQL databases (PostgreSQL, MongoDB, Elasticsearch) for efficient data storage and retrieval
• Implement CI/CD pipelines for automated data pipeline deployment and monitoring
• Optimize API performance and ensure fault tolerance, scalability, and security in data sourcing pipelines
• Implement secure authentication & authorization (OAuth, JWT) for API-based data access
• Monitor, troubleshoot, and continuously optimize data sourcing pipelines for efficiency
• Collaborate with data sourcing specialists, DevOps and cloud engineers to align API development with data pipelines and data sourcing requirements.

Qualifications

• Has a Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI or similar discipline from an accredited institution.
• 3+ years of experience in software development, data infrastructure, or API engineering.
• Proven track record of building scalable data ingestion and automation pipelines for AI applications.
• Familiarity with MLOps and AI model data preparation
• Strong programming skills in Python, Java, or Go
• Hands-on experience with API development (FastAPI, Flask, Express.js, GraphQL, gRPC) and experience with data pipeline tools (Apache Airflow, Prefect, Luigi, Dagster).
• Proficiency in SQL/NoSQL databases, vector databases.
• Expertise in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Familiarity with event-driven architectures and real-time data streaming (Kafka, WebSockets, RabbitMQ)
• Ability to work in a fast-paced AI-driven environment with evolving requirements
• Strong problem-solving skills to handle complex data integration challenges.
• Excellent collaboration and communication skills, especially in cross-functional AI teams.

职位概述
我们正在寻找一位资深 AI 软件工程师，专注于 API 自动化，负责设计、开发和维护支持大规模 AI 应用数据采集、处理与管理的基础设施。该岗位重点在于构建 API 集成，推动数据管道自动化，并确保对 AI 数据集的高效、可扩展访问。

在此岗位中，您将与数据工程师、数据科学家以及 DevOps 团队紧密合作，共同打造为 AI/机器学习（ML）模型提供数据支持的 API。理想的候选人需具备扎实的软件开发、API 设计和数据管道自动化能力，并深入理解 AI 对数据的需求。

主要职责
• 设计并管理基于 API 的数据采集管道，从第三方来源收集结构化与非结构化数据。
• 与外部 API（如 REST、GraphQL、gRPC）及内部数据服务对接，实现数据自动获取。
• 开发定制 API，确保 AI 团队能够无缝访问经过精心整理的数据集。
• 利用 Kafka、WebSockets 或 RabbitMQ 构建实时数据流解决方案。
• 运用云原生工具（如 AWS Lambda、Google Cloud Functions）开发事件驱动的数据采集架构。
• 使用 SQL/NoSQL 数据库（如 PostgreSQL、MongoDB、Elasticsearch）实现高效的数据存储与检索。
• 构建 CI/CD 流水线，实现数据管道的自动部署与监控。
• 优化 API 性能，确保数据采集管道具备高容错性、可扩展性和安全性。
• 实施安全的身份验证和授权机制（如 OAuth、JWT），保障 API 数据访问的安全。
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• 熟悉 MLOps 及 AI 模型数据预处理流程。
• 精通 Python、Java 或 Go 等编程语言。
• 拥有 API 开发经验（如 FastAPI、Flask、Express.js、GraphQL、gRPC）及数据管道工具使用经验（如 Apache Airflow、Prefect、Luigi、Dagster）。
• 熟练掌握 SQL/NoSQL 数据库及向量数据库的应用。
• 精通 AWS、GCP、Azure 等云平台和 Docker、Kubernetes 等容器化技术。
• 熟悉事件驱动架构及实时数据流技术（如 Kafka、WebSockets、RabbitMQ）。
• 能适应快节奏、不断变化的 AI 驱动型工作环境。
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Pre-Requisites/ 任职要求 :

Are you game?