About the Role
Design and implement scalable infrastructure for intelligent agent systems, ensuring robustness, performance, and extensibility across distributed environments.
Responsibilities
- Lead architecture and development of scalable backend systems for agent coordination
- Define technical direction for agentic workflows and autonomous decision-making components
- Collaborate with research teams to integrate machine learning models into production systems
- Optimize system reliability, latency, and fault tolerance at scale
- Mentor engineers across multiple teams on best practices and system design
- Drive adoption of secure coding standards and operational resilience
- Evaluate and integrate new technologies relevant to agent-based computing
- Work closely with product teams to translate requirements into technical solutions
- Improve observability and monitoring across agent lifecycle management
- Contribute to cross-team technical initiatives and platform-wide standards
Nice to Have
- Experience building agent-based or autonomous systems
- Contributions to open-source projects related to AI or distributed computing
- Publications or presentations in systems or AI engineering domains
- Hands-on experience with LLM orchestration frameworks
- Background in formal methods or verification for agent behavior
Compensation
Competitive salary with equity and performance bonuses
Work Arrangement
Hybrid with flexible remote options
Team
Core platform engineering team working on next-generation agent-based systems
About the Team
This team is responsible for developing the foundational platform that powers autonomous agent workflows, focusing on scalability, correctness, and developer experience.
What You'll Build
You will design and implement core services that enable agents to plan, execute, and collaborate across complex task environments with minimal human intervention.
Available for qualified candidates
