Job Description
The Senior AI Engineer is responsible for embedding AI capabilities across the software development lifecycle (SDLC) to improve engineering productivity, delivery quality, and automation within Acquisition & Retention area of zooplus. The role focuses on building intelligent developer workflows using Model Context Protocol (MCP), context engineering, LLM orchestration, and AI-driven tooling.
Key Responsibilities
Design and implement AI-driven SDLC accelerators such as code generation, review automation, smart testing, and documentation support.
Develop MCP-based extensions and context-aware tools to streamline developer workflows.
Apply context engineering to improve LLM reasoning, accuracy, and relevance across engineering use cases.
Build LLM-integrated CI/CD workflows for pull request a...
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