We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on
Job Summary
We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on.
You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology.
Matching Summary
We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on.
Salary
$170K to $190K; Not specified; Not specified
Skills & Requirements
Must-have
Kubernetes cluster design
multi-agent system architecture
Infrastructure as Code
CI/CD pipelines
LLM frameworks
prompt engineering
Python/TypeScript development
Nice-to-have
customer-facing skills
collaborative team environment
strong engineering culture
consultative approach
Key Requirements
7+ years technical customer-facing experience
3+ years cloud infrastructure design (GCP, AWS, Azure)