About the Role
The role involves leading the development of multi-agent AI frameworks that enable intelligent task automation, decision-making, and system coordination within a productivity platform.
Responsibilities
- Design scalable architectures for multi-agent AI systems
- Develop agents capable of reasoning, planning, and execution
- Integrate AI models with product workflows
- Optimize agent communication and coordination
- Ensure system reliability under complex workloads
- Collaborate with research teams on novel AI techniques
- Implement safety and alignment protocols for autonomous behavior
- Monitor and evaluate agent performance metrics
- Refactor AI components for maintainability and speed
- Support deployment across distributed environments
- Troubleshoot failures in agent decision chains
- Contribute to technical documentation and design specs
- Guide best practices for AI system testing
- Work with product teams to define agent use cases
- Maintain up-to-date knowledge of AI agent research
- Improve latency and throughput of agent interactions
- Build tools for debugging multi-agent workflows
- Ensure compliance with data privacy standards
- Scale infrastructure to support growing agent populations
- Facilitate knowledge transfer across engineering teams
Nice to Have
- Prior work on agent-based simulation environments
- Publications or open-source contributions in AI agents
- Experience with hierarchical task networks
- Knowledge of explainable AI techniques
- Familiarity with multi-agent coordination algorithms
- Experience optimizing AI inference pipelines
- Background in cognitive architectures
- Contributions to AI safety frameworks
- Work with real-time decision-making systems
- Involvement in AI product launches
Compensation
Competitive salary with performance incentives
Work Arrangement
Hybrid remote
Team
Collaborative AI and product development team
About the Team
The AI team focuses on building intelligent systems that enhance user productivity through automation and smart decision support. Engineers work closely with product and research to bring cutting-edge agent frameworks to market.
What We Value
Technical depth, ownership, and collaboration. We prioritize clear problem-solving, iterative development, and responsible AI practices. Candidates should thrive in fast-paced environments with evolving technical challenges.
Available for qualified candidates
