The Software AI Engineer is responsible for contributing to the integration of AI capabilities across the software development lifecycle (SDLC) to improve engineering productivity, delivery quality, and automation within the PETS area of zooplus. This role focuses on contributing to the development of intelligent developer workflows using Model Context Protocol (MCP), context engineering, LLM orchestration, and AI-driven tooling.

Key Responsibilities

• Contribute to the design and implementation of AI-driven SDLC accelerators such as code generation, review automation, smart testing, and documentation support.

• Assist in the development of MCP-based extensions and context-aware tools to streamline developer workflows.

• Support the application of context engineering to improve LLM reasoning, accuracy, and relevance across engineering use cases.

• Contribute to building LLM-integrat...