AI Platform Engineer - Scalable Backend & Observability

Traversal; New York (NY); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Startup equity

Health insurance

Job summary

Traversal is seeking an AI Platform Engineer in New York to build the core foundations that power Traversal’s AI, ensuring high quality, reliability, and maintainability across platforms and applications.

You will own frameworks, shared libraries, observability, and developer tooling, designing scalable distributed systems and architecture while balancing velocity with production reliability.

Qualifications

• 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 track record of writing clean, maintainable code.
• Collaborative, impact‑driven mindset and ability to work across research and engineering teams.

Responsibilities

• Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools.
• Design and implement high‑performance APIs to enable seamless communication between backend systems and frontend interfaces.
• Architect scalable distributed systems to support real‑time workloads over petabytes of heterogeneous telemetry data.
• Build live evaluation pipelines, automated scoring systems, and benchmarks to measure and drive AI performance.
• Collaborate with AI engineers and scientists to integrate AI‑driven insights and solutions into backend systems.
• Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low‑latency performance.

Skills

System design

Production-grade software

LLM / multi-agent

Data modeling

Cross-team collaboration

Job description

Traversal is seeking an AI Platform Engineer in New York to build the core foundations that power Traversal’s AI, ensuring high quality, reliability, and maintainability across platforms and applications.

You will own frameworks, shared libraries, observability, and developer tooling, designing scalable distributed systems and architecture while balancing velocity with production reliability.