GenerativeAIEngineer

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. As a Generative AI Engineer on the ED familiarity with LangChain is still relevant but not sufficient on its own. Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach. Familiarity with MCP (Model Context Protocol) for agent-to-tool integration, or demonstrated ability to quickly adopt new integration standards. Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers. Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred. Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics. Comfort with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar). Familiarity with Dataiku a bonus. Soft Skills Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders. Problem-solving mindset with a passion for innovation and delivering measurable business value. Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape. Compensation and Benefits The final compensation package for this role will be determined dur