about 2 months ago
Responsibilities
- Design end-to-end AI solutions using Dataiku's platform and relevant frameworks.
- Build and orchestrate multi-agent systems with Dataiku's Visual Agents and code-based frameworks.
- Integrate and optimize LLM APIs across various providers.
- Implement Retrieval-Augmented Generation (RAG) pipelines with advanced capabilities.
- Engage stakeholders to gather business requirements and identify underlying user pain points.
- Own projects from requirements intake to deployment and handover.
- Develop autonomous AI agents and custom solutions using Dataiku's Agent Builder.
- Create front-end user interfaces for AI applications using web development technologies.
- Design and maintain evaluation frameworks for LLM-based systems.
- Adhere to data governance and compliance requirements for AI solutions.
Requirements
- Strong Python skills and familiarity with data science and AI engineering libraries.
- Hands-on experience building agentic AI systems and multi-agent orchestration.
- Experience with modern agent orchestration frameworks like LangGraph and CrewAI.
- Understanding of RAG architectures and their applications.
- Familiarity with Model Context Protocol (MCP) for agent-to-tool integration.
- Web development fundamentals including HTML, CSS, and JavaScript.
- Exposure to AI evaluation practices and monitoring model performance.
- Strong communication skills for effective collaboration with stakeholders.
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field.