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AI Engineer Portraits

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    Syoka
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Background Summary

In a deep conversation with a senior engineer, we explored the essential competencies required for vertical AI engineering roles in the current AI era—spanning areas such as algorithms, data, infrastructure, and applications. We believe that an outstanding AI engineer should not only cultivate deep expertise within their own domain but also possess systematic thinking and the ability to collaborate across roles.

To provide a clearer view of these capabilities, we've compiled the following bilingual table outlining the core objectives, responsibilities, and preferred tech stacks for four key AI roles. This can serve as a reference for team building, individual development, or job design.

AI Portraits

RoleAI Algorithm EngineerAI Data EngineerAI Infrastructure EngineerAI Application Engineer
ObjectiveOptimize model performance, ensure interpretability and stabilityImprove data quality and ensure data securityDeliver a high-availability, high-performance AIOps platformRapidly deliver AI products and promote fast implementation
Responsibilities• Proficient in ML, DL, RL
• Track cutting-edge research
• Apply latest theories in real scenarios
• Drive breakthroughs in vertical domains
• Skilled in algorithm tuning, model optimization, and deployment		• Proficient in crawling, collecting, cleaning, labeling, modeling
• Responsible for data governance, quality control, privacy protection, and compliance		• Skilled in large-scale GPU cluster scheduling and optimization
• Ensure stable operation of training and inference platforms
• Familiar with CUDA, cloud-native architecture, containerization, DevOps, and cloud platforms		• Proficient in RAG, Agents, KB, Prompt engineering, fine-tuning, workflows
• Integrate backend architecture quickly
• Solid in networking, concurrency, IO streams, DDD
• Support product iteration and continuous optimization
LanguagesPython，C++Python，SQLPython，GoPython，Java，Go，TypeScript

AI画像

类别AI 算法工程师AI 数据工程师AI 基础设施工程师AI 应用工程师
目标聚焦于优化模型性能，同时确保可解释性与稳定性提升数据质量，保障数据安全提供高可用、高性能的 AIOps 平台高效交付 AI 产品，实现技术快速落地
职能精通 ML、DL、RL，持续跟踪前沿研究并应用于实际场景。推动垂直领域技术突破，具备算法调优、模型优化与落地能力。精通数据爬取、采集、清洗、标注、建模等全流程。负责数据治理、质量管理、隐私保护与合规。精通大规模 GPU 集群调度与优化，熟悉 CUDA、云原生架构，具备容器化、自动化运维和云平台实践经验。精通 RAG、Agent、知识库、Prompt 工程、微调、Workflow 框架，具备后端架构能力。支持产品迭代与持续优化，熟悉网络、并发、IO流、DDD 架构。
语言Python，C++Python，SQLPython，GoPython，Java，Go，TypeScript