About the Role
You will specialize in building intelligent teams of autonomous agents that work together to tacklesophisticated business problems — from research and analysis to execution and validation.
Key Responsibilities
- Design and implement robust multi-agent orchestration workflows
- Develop patterns for agent collaboration, memory sharing, and escalation logic
- Optimize performance, reliability, and cost of multi-agent systems
- Create reusable agent frameworks and templates for common enterprise use cases
Required Skills & Qualifications
- Deep expertise in LangGraph, CrewAI, or similar multi-agent frameworks
- Strong Python engineering background and production deployment experience
- Experience with agent memory, tool use, and human-in-the-loop patterns
RAG Architecture
Python
Our Technology Stack
You will be working with a modern, sovereign-first technology stack designed for scale and security.
LangGraph
CrewAI
What Success Looks Like
- Within 30 days: Deliver your first production multi-agent workflow
- Within 90 days: Establish reusable orchestration patterns adopted across projects.
- Within 6 months: Become the internal expert on multi-agent system design.