About the Role
Design and implement scalable multi-agent systems that enable autonomous coordination, decision-making, and task execution across complex workflows.
Responsibilities
- Architect and develop frameworks for multi-agent AI systems
- Enable autonomous interaction between AI agents with distinct roles
- Optimize agent communication and coordination protocols
- Integrate reasoning models into agent decision pipelines
- Ensure system reliability under concurrent agent operations
- Collaborate on agent memory, planning, and execution modules
- Define standards for agent safety and behavior alignment
- Improve fault tolerance in distributed agent environments
- Support real-time agent state synchronization
- Scale agent frameworks for high-throughput use cases
- Implement monitoring and observability for agent activity
- Refactor core components for maintainability and performance
- Evaluate new AI models for agent capabilities
- Contribute to agent testing and simulation environments
- Document system design and API contracts
Nice to Have
- Prior work on autonomous agent frameworks
- Experience with AI safety and alignment practices
- Contributions to open-source AI projects
- Research or engineering in multi-agent systems
- Knowledge of formal verification for agent logic
- Experience with real-time collaborative systems
- Background in automated planning or robotics
- Familiarity with reinforcement learning concepts
- Published work in AI or systems conferences
- Leadership in cross-functional technical initiatives
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid or remote options available
Team
Part of the core AI engineering team focused on advanced agent systems
About the Team
- This group leads the development of next-generation AI capabilities, focusing on intelligent agents that collaborate to automate complex workflows.
- The team operates at the intersection of research and product, shipping features that redefine productivity tools.
What You'll Build
- A robust framework where multiple AI agents operate concurrently, each with specialized functions and communication protocols.
- Systems that allow agents to plan, delegate, and execute tasks while maintaining context and accountability.
Available for qualified candidates
