[KongchangAI]
Concept智能体工程师

Agent Development Engineer

An engineer responsible for turning large language models into agents that can execute concrete business tasks. The role focuses on decomposing business processes, selecting frameworks, integrating tools and knowledge bases, evaluating performance, and controlling costs, serving as a key link between large model capabilities and business operations.

Timeline (last 90 days)

Oct 13

Agent development engineer positions are rising rapidly.

Unverified50%
Oct 13

For zero-foundation transition into Agent development, what matters is not algorithms but three things: breaking business down into steps an Agent can execute, knowing how to leverage tools and knowledge bases, and being able to run stably and avoid making things up.

Unverified50%
Sep 16

The core competencies tested in Agent development are business process decomposition, tool integration, and system exception fallback handling.

Unverified50%
Sep 16

Companies such as ByteDance, Meituan, Alibaba, and Tencent are all competing for Agent development engineer talent, while qualified candidates in the market are scarce.

Expired50%
Sep 16

Descriptions such as 'two to three times the salary for entry-level positions' in the job market often carry enrollment pitch overtones, and actual compensation varies greatly by city, company size, and individual ability.

Expired50%
Sep 16

The reason Agent development positions are hard to fill is a talent structure mismatch: those who understand algorithms don't understand the business, and those who understand the business don't understand AI.

Unverified50%
Sep 16

The job of an Agent development engineer is to turn the capabilities of large models into product features that can run stably within an enterprise.

Unverified50%

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