About the Role
The role involves developing core infrastructure for AI-driven agent systems, ensuring robustness, scalability, and seamless interaction between components in production environments.
Responsibilities
- Design and implement distributed systems that support agent-based AI applications
- Build reliable, low-latency services to enable real-time decision-making
- Collaborate with research teams to productionize experimental models
- Optimize infrastructure for high availability and fault tolerance
- Develop monitoring and observability tools for agent behavior
- Improve deployment pipelines for faster and safer releases
- Work on scaling backend systems to handle growing user demand
- Ensure secure handling of data across agent interactions
- Troubleshoot complex issues in production environments
- Contribute to architectural decisions for long-term system health
Nice to Have
- Experience working with AI or machine learning systems
- Background in building agent-based or autonomous systems
- Familiarity with reinforcement learning or decision-making frameworks
- Contributions to open-source projects related to infrastructure
- Experience with CI/CD pipelines at scale
- Knowledge of security best practices in distributed environments
- Prior work in high-throughput, low-latency systems
Compensation
Competitive salary and equity package aligned with experience and location
Work Arrangement
Hybrid or remote options available based on team and location
Team
Work within a cross-functional team focused on advancing agent capabilities through robust engineering
About the Team
This team focuses on building the foundational systems that enable intelligent agents to operate effectively in real-world scenarios. Work emphasizes scalability, resilience, and tight integration with AI models.
Impact
Engineers directly influence the reliability and performance of agent-driven applications used by enterprise clients. Projects have direct visibility into product outcomes and user success.
Visa sponsorship may be available for qualified candidates depending on role and location
