2 months ago
Base Salary
$150k - $300k/yr
Responsibilities
- Lead the design and implementation of scalable backend systems supporting AI agents and observability tools.
- Design and implement high-performance APIs connecting backend systems with frontend interfaces.
- Architect distributed systems for real-time workloads over petabytes of heterogeneous telemetry data.
- Build live evaluation pipelines, automated scoring systems, and benchmarks for AI performance.
- Collaborate with AI engineers and scientists to integrate AI-driven insights into backend systems.
- Monitor, optimize, and scale backend services for high-volume data and low-latency performance.
- Build and own frameworks, shared libraries, application foundations, observability, and developer tooling.
Requirements
- Strong system design skills for distributed systems.
- Proven production-scale software engineering experience.
- Experience with LLM-based applications and/or multi-agent systems.
- Strong data modeling skills and a record of writing clean, maintainable code.
- Ability to collaborate across research and engineering teams.
Benefits
- Startup equity, health insurance, fertility benefits, technology setup stipend, and flexible time off.
- In-office snacks, team happy hours and outings, and an annual company offsite.
- Full-time, fully in-office work five days per week in New York near Madison Square Park.
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