AI Agent开发工程师/架构师-Data
Core
Design and implement end-to-end AI-native R&D processes, including Agent architecture, code generation, workflow orchestration, and knowledge memory systems to transform traditional development into AI-native workflows.
Role type
Senior AI Agent Architect / Lead Engineer
Builds
AI-native development toolchains, Agent frameworks, custom AI workflows, and evaluation/observability systems for R&D efficiency.
Domain
Software Engineering / AI / DevOps
Deliverable
production ML models
Required skills
AI Agent architecture, DevOps toolchains, IDE plugin development, SRE operations, AI framework implementation, product design for AI, technical architecture planning, cross-team project leadership.
Preferred skills
Database architecture (MySQL/Redis/MongoDB), enterprise AI efficiency product design, open-source AI Agent contributions, technical blogging/sharing.
Technologies
AI Agent frameworks, DevOps tools, IDE plugins, SRE tools, MySQL, Redis, MongoDB.
Responsibilities
Design AI-native R&D architecture and Agent capabilities; build code generation and workflow orchestration systems; plan AI ecosystem suites and custom workflows; establish AI evaluation and observability metrics; define long-term technical strategies for AI Agent evolution.
Seniority
Senior, hands-on IC with architectural leadership