This role focuses on building end-to-end agentic AI systems that transform internal operations within the Revenue organization
Job Summary
This role focuses on building end-to-end agentic AI systems that transform internal operations within the Revenue organization.
The engineer will design and deploy multi-agent solutions using frameworks like LangGraph, CrewAI, and Dataiku's native tools while ensuring robust governance.
Candidates must possess strong Python skills and hands-on experience in orchestrating autonomous agents and managing complex RAG pipelines.
Matching Summary
This role focuses on building end-to-end agentic AI systems that transform internal operations within the Revenue organization.
Skills & Requirements
Must-have
Strong Python programming skills
Experience with LangGraph and CrewAI frameworks
Building production-ready agentic AI systems
Implementing RAG and GraphRAG architectures
Integrating LLM APIs across multiple providers
Developing custom agent tools and MCP servers
Nice-to-have
Familiarity with Vue.js and Node.js
Experience with Dataiku platform capabilities
Knowledge of EU AI Act compliance
Understanding of Model Context Protocol (MCP)
Ability to work with AI-assisted development tools
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Proven track record of deploying AI agents in production
Deep understanding of vector databases and embedding strategies