AI Backend/Platform Engineer — Scale Real-Time AI Systems

traversal

New York (NY)

On-site

USD 150,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Startup equity
Tech setup stipend
Flexible time off
In-office snacks

Job summary

Traversal is seeking an AI Engineer - Backend/Platform to build the core foundations enabling AI across our platform, products, and applications. You will own frameworks, libraries, observability, and tooling to support AI agents, balancing velocity and reliability.

You will design scalable distributed systems, deliver backend components, and collaborate with AI researchers to deploy AI-driven insights while maintaining high performance and cost efficiency.

Qualifications

  • Strong system design skills for distributed systems.
  • Proven experience with production-scale software engineering.
  • Experience with LLM-based applications and/or multi-agent systems.
  • Strong data modeling skills and clean, maintainable code.

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 into backend systems.
  • Monitor, optimize, and scale backend services to handle high volumes of data with low latency.

Skills

System design
Production software
LLM apps
Data modeling
Cross-functional

Job description

Traversal is seeking an AI Engineer - Backend/Platform to build the core foundations enabling AI across our platform, products, and applications. You will own frameworks, libraries, observability, and tooling to support AI agents, balancing velocity and reliability.

You will design scalable distributed systems, deliver backend components, and collaborate with AI researchers to deploy AI-driven insights while maintaining high performance and cost efficiency.

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